icml2023.md

ICML2023

• Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal. "Data Structures for Density Estimation" | [Home Page] | [PDF]

• Ahmed Abbas, Paul Swoboda. "ClusterFuG: Clustering Fully connected Graphs by Multicut" | [Home Page] | [PDF]

• Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk. "Generalization on the Unseen, Logic Reasoning and Degree Curriculum" | [Home Page] | [PDF]

• Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit. "Toward Large Kernel Models" | [Home Page] | [PDF]

• Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowe. "Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making" | [Home Page] | [PDF]

• Naoufal Acharki, Ramiro Lugo, Antoine Bertoncello, Josselin Garnier. "Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects" | [Home Page] | [PDF]

• Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti. "BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming" | [Home Page] | [PDF]

• Atish Agarwala, Yann Dauphin. "SAM operates far from home: eigenvalue regularization as a dynamical phenomenon" | [Home Page] | [PDF]

• Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington. "Second-order regression models exhibit progressive sharpening to the edge of stability" | [Home Page] | [PDF]

• Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee. "Global optimality of Elman-type RNNs in the mean-field regime" | [Home Page] | [PDF]

• Pranjal Aggarwal, Ameet Deshpande, Karthik R Narasimhan. "SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification" | [Home Page] | [PDF]

• Mehran Aghabozorgi, Shichong Peng, Ke Li. "Adaptive IMLE for Few-shot Pretraining-free Generative Modelling" | [Home Page] | [PDF]

• Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer. "Scaling Laws for Generative Mixed-Modal Language Models" | [Home Page] | [PDF]

• Anass Aghbalou, Guillaume Staerman. "Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability" | [Home Page] | [PDF]

• Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa. "Constrained Causal Bayesian Optimization" | [Home Page] | [PDF]

• Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane. "Explaining the effects of non-convergent MCMC in the training of Energy-Based Models" | [Home Page] | [PDF]

• Gati V Aher, Rosa I. Arriaga, Adam Tauman Kalai. "Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies" | [Home Page] | [PDF]

• Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio. "Interventional Causal Representation Learning" | [Home Page] | [PDF]

• Elisabeth Ailer, Jason Hartford, Niki Kilbertus. "Sequential Underspecified Instrument Selection for Cause-Effect Estimation" | [Home Page] | [PDF]

• Matthew Aitchison, Penny Sweetser, Marcus Hutter. "Atari-5: Distilling the Arcade Learning Environment down to Five Games" | [Home Page] | [PDF]

• Naveed Akhtar, Mohammad A. A. K. Jalwana. "Towards credible visual model interpretation with path attribution" | [Home Page] | [PDF]

• Ahmet Alacaoglu, Hanbaek Lyu. "Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data" | [Home Page] | [PDF]

• Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt. "Recasting Self-Attention with Holographic Reduced Representations" | [Home Page] | [PDF]

• Wael Alghamdi, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar. "The Saddle-Point Method in Differential Privacy" | [Home Page] | [PDF]

• Christian H.X. Ali Mehmeti-Göpel, Jan Disselhoff. "Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think" | [Home Page] | [PDF]

• James Urquhart Allingham, Jie Ren, Michael W Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan. "A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models" | [Home Page] | [PDF]

• Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan. "On the Privacy-Robustness-Utility Trilemma in Distributed Learning" | [Home Page] | [PDF]

• Baris Alparslan, Sinan Yıldırım, Ilker Birbil. "Differentially Private Distributed Bayesian Linear Regression with MCMC" | [Home Page] | [PDF]

• Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch. "Robust and Scalable Bayesian Online Changepoint Detection" | [Home Page] | [PDF]

• Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl. "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels" | [Home Page] | [PDF]

• Sanae Amani, Tor Lattimore, András György, Lin Yang. "Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost" | [Home Page] | [PDF]

• Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks. "A Kernelized Stein Discrepancy for Biological Sequences" | [Home Page] | [PDF]

• Philip Amortila, Nan Jiang, Csaba Szepesvari. "The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation" | [Home Page] | [PDF]

• Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko. "Meta Optimal Transport" | [Home Page] | [PDF]

• Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm. "Near-Optimal $Φ$-Regret Learning in Extensive-Form Games" | [Home Page] | [PDF]

• Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion. "A Modern Look at the Relationship between Sharpness and Generalization" | [Home Page] | [PDF]

• Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion. "SGD with Large Step Sizes Learns Sparse Features" | [Home Page] | [PDF]

• Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh. "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series" | [Home Page] | [PDF]

• Antonios Antoniadis, Joan Boyar, Marek Elias, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon. "Paging with Succinct Predictions" | [Home Page] | [PDF]

• Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon. "Mixing Predictions for Online Metric Algorithms" | [Home Page] | [PDF]

• Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba. "Exponential Smoothing for Off-Policy Learning" | [Home Page] | [PDF]

• Jamil Arbas, Hassan Ashtiani, Christopher Liaw. "Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models" | [Home Page] | [PDF]

• Sohei Arisaka, Qianxiao Li. "Principled Acceleration of Iterative Numerical Methods Using Machine Learning" | [Home Page] | [PDF]

• Raman Arora, Raef Bassily, Tomás González, Cristóbal A Guzmán, Michael Menart, Enayat Ullah. "Faster Rates of Convergence to Stationary Points in Differentially Private Optimization" | [Home Page] | [PDF]

• Nader Asadi, Mohammadreza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky. "Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning" | [Home Page] | [PDF]

• Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar. "Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime" | [Home Page] | [PDF]

• Hilal Asi, Jonathan Ullman, Lydia Zakynthinou. "From Robustness to Privacy and Back" | [Home Page] | [PDF]

• Amit Attia, Tomer Koren. "SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance" | [Home Page] | [PDF]

• Idan Attias, Steve Hanneke. "Adversarially Robust PAC Learnability of Real-Valued Functions" | [Home Page] | [PDF]

• Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas. "Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning" | [Home Page] | [PDF]

• Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik. "Learning to Initiate and Reason in Event-Driven Cascading Processes" | [Home Page] | [PDF]

• Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret. "On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm" | [Home Page] | [PDF]

• Pavel Avdeyev, Chenlai Shi, Yuhao Tan, Kseniia Dudnyk, Jian Zhou. "Dirichlet Diffusion Score Model for Biological Sequence Generation" | [Home Page] | [PDF]

• Kyriakos Axiotis, Maxim Sviridenko. "Gradient Descent Converges Linearly for Logistic Regression on Separable Data" | [Home Page] | [PDF]

• Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet. "Naive imputation implicitly regularizes high-dimensional linear models" | [Home Page] | [PDF]

• Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L Dyer. "Half-Hop: A graph upsampling approach for slowing down message passing" | [Home Page] | [PDF]

• Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica. "CLUTR: Curriculum Learning via Unsupervised Task Representation Learning" | [Home Page] | [PDF]

• Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang. "Personalized Subgraph Federated Learning" | [Home Page] | [PDF]

• Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli. "Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language" | [Home Page] | [PDF]

• Charlotte Baey, Maud Delattre, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler. "Efficient preconditioned stochastic gradient descent for estimation in latent variable models" | [Home Page] | [PDF]

• Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li. "Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection" | [Home Page] | [PDF]

• Yushi Bai, Xin Lv, Juanzi Li, Lei Hou. "Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization" | [Home Page] | [PDF]

• Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Shahroz, Soheil Kolouri. "Linear optimal partial transport embedding" | [Home Page] | [PDF]

• Justin Baker, Qingsong Wang, Cory D Hauck, Bao Wang. "Implicit Graph Neural Networks: A Monotone Operator Viewpoint" | [Home Page] | [PDF]

• Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau. "Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems" | [Home Page] | [PDF]

• Oleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer. "Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures" | [Home Page] | [PDF]

• Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine. "Efficient Online Reinforcement Learning with Offline Data" | [Home Page] | [PDF]

• Marin Ballu, Quentin Berthet. "Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes" | [Home Page] | [PDF]

• András Balogh, Márk Jelasity. "On the Functional Similarity of Robust and Non-Robust Neural Representations" | [Home Page] | [PDF]

• Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang. "Robust Budget Pacing with a Single Sample" | [Home Page] | [PDF]

• Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh. "Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time" | [Home Page] | [PDF]

• Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu. "One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale" | [Home Page] | [PDF]

• Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He. "Optimizing the Collaboration Structure in Cross-Silo Federated Learning" | [Home Page] | [PDF]

• Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel. "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" | [Home Page] | [PDF]

• Anas Barakat, Ilyas Fatkhullin, Niao He. "Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space" | [Home Page] | [PDF]

• Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra. "Interpretable Neural-Symbolic Concept Reasoning" | [Home Page] | [PDF]

• Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina. "Moccasin: Efficient Tensor Rematerialization for Neural Networks" | [Home Page] | [PDF]

• Raef Bassily, Ziteng Sun. "User-level Private Stochastic Convex Optimization with Optimal Rates" | [Home Page] | [PDF]

• Soumya Basu, Ankit Singh Rawat, Manzil Zaheer. "A Statistical Perspective on Retrieval-Based Models" | [Home Page] | [PDF]

• Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M Zhang. "Human-Timescale Adaptation in an Open-Ended Task Space" | [Home Page] | [PDF]

• Jerome Baum, Heishiro Kanagawa, Arthur Gretton. "A Kernel Stein Test of Goodness of Fit for Sequential Models" | [Home Page] | [PDF]

• Yahav Bechavod, Aaron Roth. "Individually Fair Learning with One-Sided Feedback" | [Home Page] | [PDF]

• Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus. "Predicting Ordinary Differential Equations with Transformers" | [Home Page] | [PDF]

• Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek. "Explaining Reinforcement Learning with Shapley Values" | [Home Page] | [PDF]

• Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov. "TIDE: Time Derivative Diffusion for Deep Learning on Graphs" | [Home Page] | [PDF]

• Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder. "Fast as CHITA: Neural Network Pruning with Combinatorial Optimization" | [Home Page] | [PDF]

• Christopher M Bender, Yifeng Shi, Marc Niethammer, Junier Oliva. "Continuously Parameterized Mixture Models" | [Home Page] | [PDF]

• Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny. "Controllable Neural Symbolic Regression" | [Home Page] | [PDF]

• Viktor Bengs, Eyke Hüllermeier, Willem Waegeman. "On Second-Order Scoring Rules for Epistemic Uncertainty Quantification" | [Home Page] | [PDF]

• Amine Bennouna, Ryan Lucas, Bart Van Parys. "Certified Robust Neural Networks: Generalization and Corruption Resistance" | [Home Page] | [PDF]

• Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick. "Gaussian processes at the Helm(holtz): A more fluid model for ocean currents" | [Home Page] | [PDF]

• Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti. "Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion" | [Home Page] | [PDF]

• Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti. "Constrained Phi-Equilibria" | [Home Page] | [PDF]

• Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela Van Der Schaar. "Differentiable and Transportable Structure Learning" | [Home Page] | [PDF]

• Arturs Berzins. "Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision" | [Home Page] | [PDF]

• Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis. "Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks" | [Home Page] | [PDF]

• Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković. "Neural Algorithmic Reasoning with Causal Regularisation" | [Home Page] | [PDF]

• Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol. "Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference" | [Home Page] | [PDF]

• Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit. "Bandit Online Linear Optimization with Hints and Queries" | [Home Page] | [PDF]

• Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai. "Improved Online Conformal Prediction via Strongly Adaptive Online Learning" | [Home Page] | [PDF]

• Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri. "Data-Copying in Generative Models: A Formal Framework" | [Home Page] | [PDF]

• Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, Usvsn Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar Van Der Wal. "Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling" | [Home Page] | [PDF]

• Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan. "StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes" | [Home Page] | [PDF]

• Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann. "Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion" | [Home Page] | [PDF]

• Julian Bitterwolf, Maximilian Müller, Matthias Hein. "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation" | [Home Page] | [PDF]

• Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf. "Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames" | [Home Page] | [PDF]

• Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang. "Understanding Oversquashing in GNNs through the Lens of Effective Resistance" | [Home Page] | [PDF]

• Charlie Blake, Douglas Orr, Carlo Luschi. "Unit Scaling: Out-of-the-Box Low-Precision Training" | [Home Page] | [PDF]

• Matthieu Blanke, Marc Lelarge. "FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems" | [Home Page] | [PDF]

• Markus Bläser. "Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits" | [Home Page] | [PDF]

• Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux. "Learning the Dynamics of Sparsely Observed Interacting Systems" | [Home Page] | [PDF]

• Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi. "Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions" | [Home Page] | [PDF]

• Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy. "Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist" | [Home Page] | [PDF]

• David Boetius, Stefan Leue, Tobias Sutter. "A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks" | [Home Page] | [PDF]

• Simone Bombari, Shayan Kiyani, Marco Mondelli. "Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels" | [Home Page] | [PDF]

• Clément Bonet, Benoı̂t Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty. "Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals" | [Home Page] | [PDF]

• Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar. "Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere" | [Home Page] | [PDF]

• Victor Boone, Bruno Gaujal. "The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning" | [Home Page] | [PDF]

• Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R Fiete. "Model-agnostic Measure of Generalization Difficulty" | [Home Page] | [PDF]

• Shahine Bouabid, Jake Fawkes, Dino Sejdinovic. "Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge" | [Home Page] | [PDF]

• Malik Boudiaf, Tom Denton, Bart Van Merrienboer, Vincent Dumoulin, Eleni Triantafillou. "In Search for a Generalizable Method for Source Free Domain Adaptation" | [Home Page] | [PDF]

• Adam Bouland, Yosheb M Getachew, Yujia Jin, Aaron Sidford, Kevin Tian. "Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling" | [Home Page] | [PDF]

• Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre. "Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?" | [Home Page] | [PDF]

• Michael Bowling, John D Martin, David Abel, Will Dabney. "Settling the Reward Hypothesis" | [Home Page] | [PDF]

• Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting. "ILLUME: Rationalizing Vision-Language Models through Human Interactions" | [Home Page] | [PDF]

• Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius Von Kügelgen, Wieland Brendel. "Provably Learning Object-Centric Representations" | [Home Page] | [PDF]

• Gecia Bravo-Hermsdorff. "Quantifying Human Priors over Social and Navigation Networks" | [Home Page] | [PDF]

• Pierre Bréchet, Katerina Papagiannouli, Jing An, Guido Montufar. "Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss" | [Home Page] | [PDF]

• Trenton Bricken, Rylan Schaeffer, Bruno Olshausen, Gabriel Kreiman. "Emergence of Sparse Representations from Noise" | [Home Page] | [PDF]

• Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis. "Differentially Private Optimization on Large Model at Small Cost" | [Home Page] | [PDF]

• Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao. "Machine Learning Force Fields with Data Cost Aware Training" | [Home Page] | [PDF]

• Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii. "Label differential privacy and private training data release" | [Home Page] | [PDF]

• Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann Lecun, Alberto Bietti. "The SSL Interplay: Augmentations, Inductive Bias, and Generalization" | [Home Page] | [PDF]

• Federico Cacciamani, Matteo Castiglioni, Nicola Gatti. "Online Mechanism Design for Information Acquisition" | [Home Page] | [PDF]

• Vittorio Caggiano, Sudeep Dasari, Vikash Kumar. "MyoDex: A Generalizable Prior for Dexterous Manipulation" | [Home Page] | [PDF]

• Francesco Cagnetta, Alessandro Favero, Matthieu Wyart. "What Can Be Learnt With Wide Convolutional Neural Networks?" | [Home Page] | [PDF]

• Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang. "Causal Discovery with Latent Confounders Based on Higher-Order Cumulants" | [Home Page] | [PDF]

• Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang. "On the Connection Between MPNN and Graph Transformer" | [Home Page] | [PDF]

• Dongqi Cai, Yangyuxuan Kang, Anbang Yao, Yurong Chen. "Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition" | [Home Page] | [PDF]

• Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang. "Extrapolated Random Tree for Regression" | [Home Page] | [PDF]

• Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas. "Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization" | [Home Page] | [PDF]

• Ruisi Cai, Zhenyu Zhang, Zhangyang Wang. "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" | [Home Page] | [PDF]

• Yang Cai, Weiqiang Zheng. "Doubly Optimal No-Regret Learning in Monotone Games" | [Home Page] | [PDF]

• Mine Melodi Caliskan, Francesco Chini, Setareh Maghsudi. "Multi-Agent Learning from Learners" | [Home Page] | [PDF]

• Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang. "Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network" | [Home Page] | [PDF]

• Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss. "Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization" | [Home Page] | [PDF]

• Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui. "Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation" | [Home Page] | [PDF]

• Steven Cao, Percy Liang, Gregory Valiant. "One-sided Matrix Completion from Two Observations Per Row" | [Home Page] | [PDF]

• Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson. "State and parameter learning with PARIS particle Gibbs" | [Home Page] | [PDF]

• Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer. "Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning" | [Home Page] | [PDF]

• Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier. "Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning" | [Home Page] | [PDF]

• Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan. "Scalable Safe Policy Improvement via Monte Carlo Tree Search" | [Home Page] | [PDF]

• Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson. "LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning" | [Home Page] | [PDF]

• Rémi Catellier, Samuel Vaiter, Damien Garreau. "On the Robustness of Text Vectorizers" | [Home Page] | [PDF]

• Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro. "Learning Globally Smooth Functions on Manifolds" | [Home Page] | [PDF]

• Jaeyoung Cha, Jaewook Lee, Chulhee Yun. "Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond" | [Home Page] | [PDF]

• Jaehoon Cha, Jeyan Thiyagalingam. "Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations" | [Home Page] | [PDF]

• Souradip Chakraborty, Amrit Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha. "STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning" | [Home Page] | [PDF]

• Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari. "Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits" | [Home Page] | [PDF]

• Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Remi Munos, Will Dabney, Diana L Borsa. "Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition" | [Home Page] | [PDF]

• Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan. "Memory-Based Dual Gaussian Processes for Sequential Learning" | [Home Page] | [PDF]

• Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan. "Muse: Text-To-Image Generation via Masked Generative Transformers" | [Home Page] | [PDF]

• Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee. "On Investigating the Conservative Property of Score-Based Generative Models" | [Home Page] | [PDF]

• Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni. "Robust and private stochastic linear bandits" | [Home Page] | [PDF]

• Anamay Chaturvedi, Huy Nguyen, Thy Dinh Nguyen. "Streaming Submodular Maximization with Differential Privacy" | [Home Page] | [PDF]

• Kamalika Chaudhuri, Kartik Ahuja, Martin Arjovsky, David Lopez-Paz. "Why does Throwing Away Data Improve Worst-Group Error?" | [Home Page] | [PDF]

• Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant. "Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits" | [Home Page] | [PDF]

• Fengdi Che, Gautham Vasan, A. Rupam Mahmood. "Correcting discount-factor mismatch in on-policy policy gradient methods" | [Home Page] | [PDF]

• Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan. "Fast Federated Machine Unlearning with Nonlinear Functional Theory" | [Home Page] | [PDF]

• David Cheikhi, Daniel Russo. "On the Statistical Benefits of Temporal Difference Learning" | [Home Page] | [PDF]

• Zhengdao Chen. "Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces" | [Home Page] | [PDF]

• Lei Chen, Joan Bruna. "Beyond the Edge of Stability via Two-step Gradient Updates" | [Home Page] | [PDF]

• Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Ting-Wei Chen, Tien-Hao Chang. "Trompt: Towards a Better Deep Neural Network for Tabular Data" | [Home Page] | [PDF]

• Du Chen, Geoffrey A. Chua. "Differentially Private Stochastic Convex Optimization under a Quantile Loss Function" | [Home Page] | [PDF]

• Sitan Chen, Giannis Daras, Alex Dimakis. "Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers" | [Home Page] | [PDF]

• Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka. "Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation" | [Home Page] | [PDF]

• Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry. "ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines" | [Home Page] | [PDF]

• Yanzhi Chen, Michael U. Gutmann, Adrian Weller. "Is Learning Summary Statistics Necessary for Likelihood-free Inference?" | [Home Page] | [PDF]

• Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang. "Subequivariant Graph Reinforcement Learning in 3D Environments" | [Home Page] | [PDF]

• Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang. "GuardHFL: Privacy Guardian for Heterogeneous Federated Learning" | [Home Page] | [PDF]

• Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu. "Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling" | [Home Page] | [PDF]

• Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang. "Evolving Semantic Prototype Improves Generative Zero-Shot Learning" | [Home Page] | [PDF]

• Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma. "Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization" | [Home Page] | [PDF]

• Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian. "Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity" | [Home Page] | [PDF]

• Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang. "Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data" | [Home Page] | [PDF]

• Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu. "Sample Complexity of Probability Divergences under Group Symmetry" | [Home Page] | [PDF]

• Hongrui Chen, Holden Lee, Jianfeng Lu. "Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions" | [Home Page] | [PDF]

• Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao. "Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers" | [Home Page] | [PDF]

• Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang. "HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation" | [Home Page] | [PDF]

• Keyi Chen, Francesco Orabona. "Generalized Implicit Follow-The-Regularized-Leader" | [Home Page] | [PDF]

• Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt. "Fisher Information Embedding for Node and Graph Learning" | [Home Page] | [PDF]

• Jiaxuan Chen, Yu Qi, Gang Pan. "Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues" | [Home Page] | [PDF]

• Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha. "Stratified Adversarial Robustness with Rejection" | [Home Page] | [PDF]

• Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal. "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning" | [Home Page] | [PDF]

• Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu. "Model Transferability with Responsive Decision Subjects" | [Home Page] | [PDF]

• Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta. "Layered State Discovery for Incremental Autonomous Exploration" | [Home Page] | [PDF]

• Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang. "Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization" | [Home Page] | [PDF]

• Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang. "Learning to Optimize Differentiable Games" | [Home Page] | [PDF]

• Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng. "Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets" | [Home Page] | [PDF]

• Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan. "Semi-Offline Reinforcement Learning for Optimized Text Generation" | [Home Page] | [PDF]

• Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai. "Lower Bounds for Learning in Revealing POMDPs" | [Home Page] | [PDF]

• Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen. "Implicit Neural Spatial Representations for Time-dependent PDEs" | [Home Page] | [PDF]

• Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Wanxiang Che, Xiangzhan Yu, Furu Wei. "BEATs: Audio Pre-Training with Acoustic Tokenizers" | [Home Page] | [PDF]

• Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang. "Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model" | [Home Page] | [PDF]

• Lesi Chen, Jing Xu, Luo Luo. "Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization" | [Home Page] | [PDF]

• Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li. "Efficient Personalized Federated Learning via Sparse Model-Adaptation" | [Home Page] | [PDF]

• Yifan Chen, Rentian Yao, Yun Yang, Jie Chen. "A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening" | [Home Page] | [PDF]

• Dangxing Chen, Weicheng Ye. "How to address monotonicity for model risk management?" | [Home Page] | [PDF]

• Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun. "Sketched Ridgeless Linear Regression: The Role of Downsampling" | [Home Page] | [PDF]

• Dingyang Chen, Qi Zhang. "Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Can Chen, Yingxue Zhang, Xue Liu, Mark Coates. "Bidirectional Learning for Offline Model-based Biological Sequence Design" | [Home Page] | [PDF]

• Tianqi Chen, Mingyuan Zhou. "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" | [Home Page] | [PDF]

• Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui. "Lifelong Language Pretraining with Distribution-Specialized Experts" | [Home Page] | [PDF]

• Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu. "Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization" | [Home Page] | [PDF]

• Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng. "Weakly Supervised Regression with Interval Targets" | [Home Page] | [PDF]

• Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li. "PLay: Parametrically Conditioned Layout Generation using Latent Diffusion" | [Home Page] | [PDF]

• Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen. "Identification of the Adversary from a Single Adversarial Example" | [Home Page] | [PDF]

• Xiaotong Cheng, Cheng Pan, Setareh Maghsudi. "Parallel Online Clustering of Bandits via Hedonic Game" | [Home Page] | [PDF]

• Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna. "Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models" | [Home Page] | [PDF]

• Duo Cheng, Xingyu Zhou, Bo Ji. "Understanding the Role of Feedback in Online Learning with Switching Costs" | [Home Page] | [PDF]

• David Chiang, Peter Cholak, Anand Pillay. "Tighter Bounds on the Expressivity of Transformer Encoders" | [Home Page] | [PDF]

• Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge. "Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup" | [Home Page] | [PDF]

• Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge. "Hiding Data Helps: On the Benefits of Masking for Sparse Coding" | [Home Page] | [PDF]

• Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu. "PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation" | [Home Page] | [PDF]

• Hong-Ming Chiu, Richard Y. Zhang. "Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations" | [Home Page] | [PDF]

• Cheol Jun Cho, Edward Chang, Gopala Anumanchipalli. "Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data" | [Home Page] | [PDF]

• Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang. "On the Convergence of Federated Averaging with Cyclic Client Participation" | [Home Page] | [PDF]

• Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho. "GREAD: Graph Neural Reaction-Diffusion Networks" | [Home Page] | [PDF]

• Hee Min Choi, Hyoa Kang, Dokwan Oh. "Is Overfitting Necessary for Implicit Video Representation?" | [Home Page] | [PDF]

• Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-Hwan Oh. "Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model" | [Home Page] | [PDF]

• Jaemoo Choi, Yesom Park, Myungjoo Kang. "Restoration based Generative Models" | [Home Page] | [PDF]

• Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash. "Concept-based Explanations for Out-of-Distribution Detectors" | [Home Page] | [PDF]

• Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya. "Active causal structure learning with advice" | [Home Page] | [PDF]

• Davin Choo, Kirankumar Shiragur. "New metrics and search algorithms for weighted causal DAGs" | [Home Page] | [PDF]

• Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery. "Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions" | [Home Page] | [PDF]

• Christopher A. Choquette-Choo, Hugh Brendan Mcmahan, J Keith Rush, Abhradeep Guha Thakurta. "Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning" | [Home Page] | [PDF]

• Krzysztof Marcin Choromanski. "Taming graph kernels with random features" | [Home Page] | [PDF]

• Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller. "Efficient Graph Field Integrators Meet Point Clouds" | [Home Page] | [PDF]

• Era Choshen, Aviv Tamar. "ContraBAR: Contrastive Bayes-Adaptive Deep RL" | [Home Page] | [PDF]

• Rishav Chourasia, Neil Shah. "Forget Unlearning: Towards True Data-Deletion in Machine Learning" | [Home Page] | [PDF]

• Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen. "Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks" | [Home Page] | [PDF]

• Rhea Chowers, Yair Weiss. "What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective" | [Home Page] | [PDF]

• Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica. "Unifying Molecular and Textual Representations via Multi-task Language Modelling" | [Home Page] | [PDF]

• Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei. "Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks" | [Home Page] | [PDF]

• Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu. "Shape-Guided Dual-Memory Learning for 3D Anomaly Detection" | [Home Page] | [PDF]

• Jianing Chu, Shu Yang, Wenbin Lu. "Multiply Robust Off-policy Evaluation and Learning under Truncation by Death" | [Home Page] | [PDF]

• Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis. "InfoOT: Information Maximizing Optimal Transport" | [Home Page] | [PDF]

• Bilal Chughtai, Lawrence Chan, Neel Nanda. "A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations" | [Home Page] | [PDF]

• Jase Clarkson. "Distribution Free Prediction Sets for Node Classification" | [Home Page] | [PDF]

• Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani. "Sequential Strategic Screening" | [Home Page] | [PDF]

• David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon. "Few-Sample Feature Selection via Feature Manifold Learning" | [Home Page] | [PDF]

• Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha. "Spatial Implicit Neural Representations for Global-Scale Species Mapping" | [Home Page] | [PDF]

• Andrea Coletta, Svitlana Vyetrenko, Tucker Balch. "K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs" | [Home Page] | [PDF]

• Armand Comas, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia Camps. "Inferring Relational Potentials in Interacting Systems" | [Home Page] | [PDF]

• Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye. "Task-specific experimental design for treatment effect estimation" | [Home Page] | [PDF]

• Elisabetta Cornacchia, Elchanan Mossel. "A Mathematical Model for Curriculum Learning for Parities" | [Home Page] | [PDF]

• Ian Connick Covert, Wei Qiu, Mingyu Lu, Na Yoon Kim, Nathan J White, Su-In Lee. "Learning to Maximize Mutual Information for Dynamic Feature Selection" | [Home Page] | [PDF]

• Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang. "Rethinking Weak Supervision in Helping Contrastive Learning" | [Home Page] | [PDF]

• Hugo Cui, Florent Krzakala, Lenka Zdeborova. "Bayes-optimal Learning of Deep Random Networks of Extensive-width" | [Home Page] | [PDF]

• Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang. "A General Representation Learning Framework with Generalization Performance Guarantees" | [Home Page] | [PDF]

• Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll. "IRNeXt: Rethinking Convolutional Network Design for Image Restoration" | [Home Page] | [PDF]

• Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh. "Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory" | [Home Page] | [PDF]

• Yiming Cui, Linjie Yang, Haichao Yu. "Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation" | [Home Page] | [PDF]

• Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar. "Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions" | [Home Page] | [PDF]

• Alicia Curth, Mihaela Van Der Schaar. "In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation" | [Home Page] | [PDF]

• Ashok Cutkosky, Harsh Mehta, Francesco Orabona. "Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion" | [Home Page] | [PDF]

• Marco Cuturi, Michal Klein, Pierre Ablin. "Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps" | [Home Page] | [PDF]

• Edwige Cyffers, Aurélien Bellet, Debabrota Basu. "From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning" | [Home Page] | [PDF]

• Yanbo Dai, Songze Li. "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning" | [Home Page] | [PDF]

• Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert. "Refined Regret for Adversarial MDPs with Linear Function Approximation" | [Home Page] | [PDF]

• Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal. "MultiRobustBench: Benchmarking Robustness Against Multiple Attacks" | [Home Page] | [PDF]

• Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian. "Moderately Distributional Exploration for Domain Generalization" | [Home Page] | [PDF]

• Brett Daley, Martha White, Christopher Amato, Marlos C. Machado. "Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning" | [Home Page] | [PDF]

• Hadi Daneshmand, Jason D. Lee, Chi Jin. "Efficient displacement convex optimization with particle gradient descent" | [Home Page] | [PDF]

• Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen. "Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation" | [Home Page] | [PDF]

• Hien Dang, Tho Tran Huu, Stanley Osher, Hung The Tran, Nhat Ho, Tan Minh Nguyen. "Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data" | [Home Page] | [PDF]

• Christoph Dann, Yishay Mansour, Mehryar Mohri. "Reinforcement Learning Can Be More Efficient with Multiple Rewards" | [Home Page] | [PDF]

• Christoph Dann, Chen-Yu Wei, Julian Zimmert. "Best of Both Worlds Policy Optimization" | [Home Page] | [PDF]

• Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia. "Image generation with shortest path diffusion" | [Home Page] | [PDF]

• Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen. "Efficient List-Decodable Regression using Batches" | [Home Page] | [PDF]

• Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi. "Beyond Uniform Lipschitz Condition in Differentially Private Optimization" | [Home Page] | [PDF]

• Rudrajit Das, Sujay Sanghavi. "Understanding Self-Distillation in the Presence of Label Noise" | [Home Page] | [PDF]

• Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das. "Interval Bound Interpolation for Few-shot Learning with Few Tasks" | [Home Page] | [PDF]

• Sam Daulton, Maximilian Balandat, Eytan Bakshy. "Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information" | [Home Page] | [PDF]

• Sami Davies, Benjamin Moseley, Heather Newman. "Fast Combinatorial Algorithms for Min Max Correlation Clustering" | [Home Page] | [PDF]

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• Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou. "SpeedDETR: Speed-aware Transformers for End-to-end Object Detection" | [Home Page] | [PDF]

• Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu. "Understand and Modularize Generator Optimization in ELECTRA-style Pretraining" | [Home Page] | [PDF]

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• Yijun Dong, Yuege Xie, Rachel Ward. "Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift" | [Home Page] | [PDF]

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• Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang. "Symmetry-Aware Robot Design with Structured Subgroups" | [Home Page] | [PDF]

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• Matthew Dowling, Yuan Zhao, Il Memming Park. "Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains" | [Home Page] | [PDF]

• Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnoerr, Ullrich Koethe. "On the Convergence Rate of Gaussianization with Random Rotations" | [Home Page] | [PDF]

• Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence. "PaLM-E: An Embodied Multimodal Language Model" | [Home Page] | [PDF]

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• Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin. "Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows" | [Home Page] | [PDF]

• Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla. "Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation" | [Home Page] | [PDF]

• Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao. "On Uni-Modal Feature Learning in Supervised Multi-Modal Learning" | [Home Page] | [PDF]

• Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas. "Guiding Pretraining in Reinforcement Learning with Large Language Models" | [Home Page] | [PDF]

• Weitao Du, He Zhang, Tao Yang, Yuanqi Du. "A Flexible Diffusion Model" | [Home Page] | [PDF]

• Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang. "Fast Excess Risk Rates via Offset Rademacher Complexity" | [Home Page] | [PDF]

• Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu. "Are Diffusion Models Vulnerable to Membership Inference Attacks?" | [Home Page] | [PDF]

• Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou. "Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process" | [Home Page] | [PDF]

• Zhijian Duan, Yunxuan Ma, Xiaotie Deng. "Are Equivariant Equilibrium Approximators Beneficial?" | [Home Page] | [PDF]

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• Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk Van Der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin. "Delayed Bandits: When Do Intermediate Observations Help?" | [Home Page] | [PDF]

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• Chenglin Fan, Ping Li, Xiaoyun Li. "LSDS++ : Dual Sampling for Accelerated k-means++" | [Home Page] | [PDF]

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• Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan Oseledets. "General Covariance Data Augmentation for Neural PDE Solvers" | [Home Page] | [PDF]

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• Guanhua Fang, Ping Li. "Regression with Label Permutation in Generalized Linear Model" | [Home Page] | [PDF]

• Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan. "Robust Collaborative Learning with Linear Gradient Overhead" | [Home Page] | [PDF]

• Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy. "Neural FIM for learning Fisher information metrics from point cloud data" | [Home Page] | [PDF]

• Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He. "Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies" | [Home Page] | [PDF]

• Jonathan Feldstein, Modestas Jurčius, Efthymia Tsamoura. "Parallel Neurosymbolic Integration with Concordia" | [Home Page] | [PDF]

• Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson. "Why Target Networks Stabilise Temporal Difference Methods" | [Home Page] | [PDF]

• Dieqiao Feng, Yuanqi Du, Carla P Gomes, Bart Selman. "Weighted Sampling without Replacement for Deep Top-$k$ Classification" | [Home Page] | [PDF]

• Zhe Feng, Christopher Liaw, Zixin Zhou. "Improved Online Learning Algorithms for CTR Prediction in Ad Auctions" | [Home Page] | [PDF]

• Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma. "Fractional Denoising for 3D Molecular Pre-training" | [Home Page] | [PDF]

• Ying Feng, David Woodruff. "Improved Algorithms for White-Box Adversarial Streams" | [Home Page] | [PDF]

• Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang. "Non-stationary Reinforcement Learning under General Function Approximation" | [Home Page] | [PDF]

• Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux. "Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption" | [Home Page] | [PDF]

• Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian. "SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems" | [Home Page] | [PDF]

• Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat. "Scaling Laws for Multilingual Neural Machine Translation" | [Home Page] | [PDF]

• Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay. "Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation" | [Home Page] | [PDF]

• Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko. "Adapting to game trees in zero-sum imperfect information games" | [Home Page] | [PDF]

• Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Nunez. "User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems" | [Home Page] | [PDF]

• Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna Wardlaw, Grant Mair, Emanuele Trucco, Amos Storkey. "ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging" | [Home Page] | [PDF]

• Alexandre Forel, Axel Parmentier, Thibaut Vidal. "Explainable Data-Driven Optimization: From Context to Decision and Back Again" | [Home Page] | [PDF]

• Dylan J Foster, Noah Golowich, Sham M. Kakade. "Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games" | [Home Page] | [PDF]

• Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D Cantwell, Anil Anthony Bharath. "Disentangled Generative Models for Robust Prediction of System Dynamics" | [Home Page] | [PDF]

• Louis Fournier, Stephane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon. "Can Forward Gradient Match Backpropagation?" | [Home Page] | [PDF]

• Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi. "Last Switch Dependent Bandits with Monotone Payoff Functions" | [Home Page] | [PDF]

• Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi. "A Theoretical Analysis of the Learning Dynamics under Class Imbalance" | [Home Page] | [PDF]

• Elias Frantar, Dan Alistarh. "SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot" | [Home Page] | [PDF]

• Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset. "Learning Temporally AbstractWorld Models without Online Experimentation" | [Home Page] | [PDF]

• Gideon Joseph Freund, Elad Sarafian, Sarit Kraus. "A Coupled Flow Approach to Imitation Learning" | [Home Page] | [PDF]

• Daniel Y Fu, Elliot L Epstein, Eric Nguyen, Armin W Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Re. "Simple Hardware-Efficient Long Convolutions for Sequence Modeling" | [Home Page] | [PDF]

• Yang Fu, Ishan Misra, Xiaolong Wang. "MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses" | [Home Page] | [PDF]

• Yao Fu, Run Peng, Honglak Lee. "Go Beyond Imagination: Maximizing Episodic Reachability with World Models" | [Home Page] | [PDF]

• Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot. "Specializing Smaller Language Models towards Multi-Step Reasoning" | [Home Page] | [PDF]

• Qiang Fu, Dongchu Xu, Ashia Camage Wilson. "Accelerated Stochastic Optimization Methods under Quasar-convexity" | [Home Page] | [PDF]

• Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris. "Meta-learning Parameterized Skills" | [Home Page] | [PDF]

• Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin. "NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations" | [Home Page] | [PDF]

• Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo. "Hierarchies of Reward Machines" | [Home Page] | [PDF]

• Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz. "Why Random Pruning Is All We Need to Start Sparse" | [Home Page] | [PDF]

• Quentin Gallouédec, Emmanuel Dellandrea. "Cell-Free Latent Go-Explore" | [Home Page] | [PDF]

• Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira. "Graph Reinforcement Learning for Network Control via Bi-Level Optimization" | [Home Page] | [PDF]

• Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang. "Why Is Public Pretraining Necessary for Private Model Training?" | [Home Page] | [PDF]

• Roy Ganz, Bahjat Kawar, Michael Elad. "Do Perceptually Aligned Gradients Imply Robustness?" | [Home Page] | [PDF]

• Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye. "Solving Linear Programs with Fast Online Learning Algorithms" | [Home Page] | [PDF]

• Yihang Gao, Yiqi Gu, Michael Ng. "Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks" | [Home Page] | [PDF]

• Nicholas Gao, Stephan Günnemann. "Generalizing Neural Wave Functions" | [Home Page] | [PDF]

• Ruijiang Gao, Himabindu Lakkaraju. "On the Impact of Algorithmic Recourse on Social Segregation" | [Home Page] | [PDF]

• Rui Gao, Weiwei Liu. "DDGR: Continual Learning with Deep Diffusion-based Generative Replay" | [Home Page] | [PDF]

• Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig. "PAL: Program-aided Language Models" | [Home Page] | [PDF]

• Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang. "Out-of-Domain Robustness via Targeted Augmentations" | [Home Page] | [PDF]

• Leo Gao, John Schulman, Jacob Hilton. "Scaling Laws for Reward Model Overoptimization" | [Home Page] | [PDF]

• Xavier Garcia, Yamini Bansal, Colin Cherry, George Foster, Maxim Krikun, Melvin Johnson, Orhan Firat. "The Unreasonable Effectiveness of Few-shot Learning for Machine Translation" | [Home Page] | [PDF]

• Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton. "RLSbench: Domain Adaptation Under Relaxed Label Shift" | [Home Page] | [PDF]

• Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun. "RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank" | [Home Page] | [PDF]

• Quentin Garrido, Laurent Najman, Yann Lecun. "Self-supervised learning of Split Invariant Equivariant representations" | [Home Page] | [PDF]

• Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh. "Federated Heavy Hitter Recovery under Linear Sketching" | [Home Page] | [PDF]

• Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal. "On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization" | [Home Page] | [PDF]

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• Tomas Geffner, George Papamakarios, Andriy Mnih. "Compositional Score Modeling for Simulation-Based Inference" | [Home Page] | [PDF]

• Jonas Geiping, Tom Goldstein. "Cramming: Training a Language Model on a single GPU in one day." | [Home Page] | [PDF]

• Simon Geisler, Yujia Li, Daniel J Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru. "Transformers Meet Directed Graphs" | [Home Page] | [PDF]

• Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness. "Memory-Based Meta-Learning on Non-Stationary Distributions" | [Home Page] | [PDF]

• Chuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si. "Towards Reliable Neural Specifications" | [Home Page] | [PDF]

• Matthias Gerstgrasser, David C. Parkes. "Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni. "Approximately Optimal Core Shapes for Tensor Decompositions" | [Home Page] | [PDF]

• Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon. "GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks" | [Home Page] | [PDF]

• Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang. "On User-Level Private Convex Optimization" | [Home Page] | [PDF]

• Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca Dragan, Aditi Raghunathan. "Contextual Reliability: When Different Features Matter in Different Contexts" | [Home Page] | [PDF]

• Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine. "Reinforcement Learning from Passive Data via Latent Intentions" | [Home Page] | [PDF]

• Atiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Dongho Kim, Jeong-Il Kye, Vincent Emanuel Elfving. "Harmonic Neural Networks" | [Home Page] | [PDF]

• Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich. "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat" | [Home Page] | [PDF]

• Angeliki Giannou, Shashank Rajput, Jy-Yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos. "Looped Transformers as Programmable Computers" | [Home Page] | [PDF]

• Luca Giuliani, Eleonora Misino, Michele Lombardi. "Generalized Disparate Impact for Configurable Fairness Solutions in ML" | [Home Page] | [PDF]

• Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell. "Multicalibration as Boosting for Regression" | [Home Page] | [PDF]

• Manuel Gloeckler, Michael Deistler, Jakob H. Macke. "Adversarial robustness of amortized Bayesian inference" | [Home Page] | [PDF]

• Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak. "Efficient RL via Disentangled Environment and Agent Representations" | [Home Page] | [PDF]

• Dongyoung Go, Tomasz Korbak, Germàn Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman. "Aligning Language Models with Preferences through $f$-divergence Minimization" | [Home Page] | [PDF]

• Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stephan Clémençon. "Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues" | [Home Page] | [PDF]

• Weiyuan Gong, Scott Aaronson. "Learning Distributions over Quantum Measurement Outcomes" | [Home Page] | [PDF]

• Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel. "Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity" | [Home Page] | [PDF]

• Shirin Goshtasbpour, Victor Cohen, Fernando Perez-Cruz. "Adaptive Annealed Importance Sampling with Constant Rate Progress" | [Home Page] | [PDF]

• Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden. "Formalizing Preferences Over Runtime Distributions" | [Home Page] | [PDF]

• Vincent Peter Grande, Michael T Schaub. "Topological Point Cloud Clustering" | [Home Page] | [PDF]

• Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié. "On Sampling with Approximate Transport Maps" | [Home Page] | [PDF]

• Elisenda Grigsby, Kathryn Lindsey, David Rolnick. "Hidden Symmetries of ReLU Networks" | [Home Page] | [PDF]

• Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik. "EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression" | [Home Page] | [PDF]

• Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi. "NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion" | [Home Page] | [PDF]

• Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu. "DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design" | [Home Page] | [PDF]

• Aritra Guha, Nhat Ho, Xuanlong Nguyen. "On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances" | [Home Page] | [PDF]

• Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo. "Conformalization of Sparse Generalized Linear Models" | [Home Page] | [PDF]

• Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat. "Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design" | [Home Page] | [PDF]

• Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang. "Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships" | [Home Page] | [PDF]

• Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang. "FeDXL: Provable Federated Learning for Deep X-Risk Optimization" | [Home Page] | [PDF]

• Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang. "Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP" | [Home Page] | [PDF]

• Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi. "Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano" | [Home Page] | [PDF]

• Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao. "Linkless Link Prediction via Relational Distillation" | [Home Page] | [PDF]

• Yongxin Guo, Xiaoying Tang, Tao Lin. "FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction" | [Home Page] | [PDF]

• Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik. "Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction" | [Home Page] | [PDF]

• Yuhe Guo, Zhewei Wei. "Graph Neural Networks with Learnable and Optimal Polynomial Bases" | [Home Page] | [PDF]

• Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian Mcauley. "LongCoder: A Long-Range Pre-trained Language Model for Code Completion" | [Home Page] | [PDF]

• Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long. "Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms" | [Home Page] | [PDF]

• Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou. "Identifying Useful Learnwares for Heterogeneous Label Spaces" | [Home Page] | [PDF]

• Shivam Gupta, Jasper C.H. Lee, Eric Price. "High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors" | [Home Page] | [PDF]

• Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur. "GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets" | [Home Page] | [PDF]

• Chirag Gupta, Aaditya Ramdas. "Online Platt Scaling with Calibeating" | [Home Page] | [PDF]

• Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani. "Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal" | [Home Page] | [PDF]

• Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat. "Conditionally Strongly Log-Concave Generative Models" | [Home Page] | [PDF]

• Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni. "DRew: Dynamically Rewired Message Passing with Delay" | [Home Page] | [PDF]

• Marie Guyomard, Susana Barbosa, Lionel Fillatre. "Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network" | [Home Page] | [PDF]

• Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski. "Conformal Prediction Sets for Graph Neural Networks" | [Home Page] | [PDF]

• Seungwoong Ha, Hawoong Jeong. "Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning" | [Home Page] | [PDF]

• Daniel Haider, Martin Ehler, Peter Balazs. "Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction" | [Home Page] | [PDF]

• Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta. "Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees" | [Home Page] | [PDF]

• Boran Han. "Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition" | [Home Page] | [PDF]

• Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon. "On the Impact of Knowledge Distillation for Model Interpretability" | [Home Page] | [PDF]

• Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang. "Alternately Optimized Graph Neural Networks" | [Home Page] | [PDF]

• Yena Han, Tomaso A Poggio, Brian Cheung. "System Identification of Neural Systems: If We Got It Right, Would We Know?" | [Home Page] | [PDF]

• Jonas Berg Hansen, Filippo Maria Bianchi. "Total Variation Graph Neural Networks" | [Home Page] | [PDF]

• Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney. "Learning Physical Models that Can Respect Conservation Laws" | [Home Page] | [PDF]

• Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang. "On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline" | [Home Page] | [PDF]

• Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen. "Leveraging Demonstrations to Improve Online Learning: Quality Matters" | [Home Page] | [PDF]

• Xiaoran Hao, Patrick Shafto. "Coupled Variational Autoencoder" | [Home Page] | [PDF]

• Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu. "GNOT: A General Neural Operator Transformer for Operator Learning" | [Home Page] | [PDF]

• Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic. "Algorithmic Collective Action in Machine Learning" | [Home Page] | [PDF]

• Marc Harkonen, Markus Lange-Hegermann, Bogdan Raita. "Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients" | [Home Page] | [PDF]

• Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park. "Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting" | [Home Page] | [PDF]

• Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov. "Global Context Vision Transformers" | [Home Page] | [PDF]

• Martin B Haugh, Raghav Singal. "Counterfactual Analysis in Dynamic Latent State Models" | [Home Page] | [PDF]

• Satoshi Hayakawa, Harald Oberhauser, Terry Lyons. "Sampling-based Nyström Approximation and Kernel Quadrature" | [Home Page] | [PDF]

• Soufiane Hayou, Greg Yang. "Width and Depth Limits Commute in Residual Networks" | [Home Page] | [PDF]

• Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann Lecun, Xavier Bresson. "A Generalization of ViT/MLP-Mixer to Graphs" | [Home Page] | [PDF]

• Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik. "Domain Adaptation for Time Series Under Feature and Label Shifts" | [Home Page] | [PDF]

• Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang. "Contrastive Learning Meets Homophily: Two Birds with One Stone" | [Home Page] | [PDF]

• Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu. "Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes" | [Home Page] | [PDF]

• S Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath. "CRISP: Curriculum based Sequential neural decoders for Polar code family" | [Home Page] | [PDF]

• Jonathan Hehir, Daniel Ting, Graham Cormode. "Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting" | [Home Page] | [PDF]

• Florian Heinrichs, Mavin Heim, Corinna Weber. "Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification" | [Home Page] | [PDF]

• Joey Hejna, Jensen Gao, Dorsa Sadigh. "Distance Weighted Supervised Learning for Offline Interaction Data" | [Home Page] | [PDF]

• Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji. "Group Equivariant Fourier Neural Operators for Partial Differential Equations" | [Home Page] | [PDF]

• Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low. "Training-Free Neural Active Learning with Initialization-Robustness Guarantees" | [Home Page] | [PDF]

• Mikael Henaff, Minqi Jiang, Roberta Raileanu. "A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs" | [Home Page] | [PDF]

• Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim. "Robust Camera Pose Refinement for Multi-Resolution Hash Encoding" | [Home Page] | [PDF]

• Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz. "Generalized Teacher Forcing for Learning Chaotic Dynamics" | [Home Page] | [PDF]

• Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen. "Causal Modeling of Policy Interventions From Treatment-Outcome Sequences" | [Home Page] | [PDF]

• Liam Hodgkinson, Chris Van Der Heide, Fred Roosta, Michael W. Mahoney. "Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes" | [Home Page] | [PDF]

• Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert. "AdaBoost is not an Optimal Weak to Strong Learner" | [Home Page] | [PDF]

• Rasmus Høier, D. Staudt, Christopher Zach. "Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons" | [Home Page] | [PDF]

• Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh. "Multi-Task Off-Policy Learning from Bandit Feedback" | [Home Page] | [PDF]

• Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar. "Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching" | [Home Page] | [PDF]

• Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou. "Revisiting Data-Free Knowledge Distillation with Poisoned Teachers" | [Home Page] | [PDF]

• Emiel Hoogeboom, Jonathan Heek, Tim Salimans. "simple diffusion: End-to-end diffusion for high resolution images" | [Home Page] | [PDF]

• Guy Horowitz, Nir Rosenfeld. "Causal Strategic Classification: A Tale of Two Shifts" | [Home Page] | [PDF]

• Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie. "Fair and Accurate Decision Making through Group-Aware Learning" | [Home Page] | [PDF]

• Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian. "Approximation Algorithms for Fair Range Clustering" | [Home Page] | [PDF]

• Elizabeth Mary Hou, Gregory David Castanon. "Decoding Layer Saliency in Language Transformers" | [Home Page] | [PDF]

• Bairu Hou, Joe O’Connor, Jacob Andreas, Shiyu Chang, Yang Zhang. "PromptBoosting: Black-Box Text Classification with Ten Forward Passes" | [Home Page] | [PDF]

• Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya. "Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach" | [Home Page] | [PDF]

• Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong. "Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits" | [Home Page] | [PDF]

• Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro. "Automatic Data Augmentation via Invariance-Constrained Learning" | [Home Page] | [PDF]

• Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum. "Thompson Sampling with Diffusion Generative Prior" | [Home Page] | [PDF]

• Zhengmian Hu, Heng Huang. "Tighter Analysis for ProxSkip" | [Home Page] | [PDF]

• Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang. "Omnipredictors for Constrained Optimization" | [Home Page] | [PDF]

• Edward J Hu, Nikolay Malkin, Moksh Jain, Katie E Everett, Alexandros Graikos, Yoshua Bengio. "GFlowNet-EM for Learning Compositional Latent Variable Models" | [Home Page] | [PDF]

• Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang. "Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization" | [Home Page] | [PDF]

• Hengyuan Hu, Dorsa Sadigh. "Language Instructed Reinforcement Learning for Human-AI Coordination" | [Home Page] | [PDF]

• Yuan-Ting Hu, Alex Schwing, Raymond A. Yeh. "Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction" | [Home Page] | [PDF]

• Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao. "Learning to Learn from APIs: Black-Box Data-Free Meta-Learning" | [Home Page] | [PDF]

• Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao. "For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal" | [Home Page] | [PDF]

• Zhengmian Hu, Xidong Wu, Heng Huang. "Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization" | [Home Page] | [PDF]

• Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao. "Understanding the Impact of Adversarial Robustness on Accuracy Disparity" | [Home Page] | [PDF]

• Audrey Huang, Jinglin Chen, Nan Jiang. "Reinforcement Learning in Low-rank MDPs with Density Features" | [Home Page] | [PDF]

• Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou. "Composer: Creative and Controllable Image Synthesis with Composable Conditions" | [Home Page] | [PDF]

• Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen. "Model-Aware Contrastive Learning: Towards Escaping the Dilemmas" | [Home Page] | [PDF]

• Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang. "High-dimensional Clustering onto Hamiltonian Cycle" | [Home Page] | [PDF]

• Jiatai Huang, Yan Dai, Longbo Huang. "Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning" | [Home Page] | [PDF]

• Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang. "Fast Algorithms for Distributed k-Clustering with Outliers" | [Home Page] | [PDF]

• Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner. "Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning" | [Home Page] | [PDF]

• Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu. "On Coresets for Clustering in Small Dimensional Euclidean spaces" | [Home Page] | [PDF]

• Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao. "Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models" | [Home Page] | [PDF]

• Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou. "The Power of Uniform Sampling for k-Median" | [Home Page] | [PDF]

• Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su. "Reparameterized Policy Learning for Multimodal Trajectory Optimization" | [Home Page] | [PDF]

• Yufan Huang, C. Seshadhri, David F. Gleich. "Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming" | [Home Page] | [PDF]

• Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu. "NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition" | [Home Page] | [PDF]

• Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao. "Policy Contrastive Imitation Learning" | [Home Page] | [PDF]

• Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu. "Are Large Kernels Better Teachers than Transformers for ConvNets?" | [Home Page] | [PDF]

• Minhui Huang, Dewei Zhang, Kaiyi Ji. "Achieving Linear Speedup in Non-IID Federated Bilevel Learning" | [Home Page] | [PDF]

• Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang. "Federated Linear Contextual Bandits with User-level Differential Privacy" | [Home Page] | [PDF]

• Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola. "Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks" | [Home Page] | [PDF]

• Like Hui, Mikhail Belkin, Stephen Wright. "Cut your Losses with Squentropy" | [Home Page] | [PDF]

• Iris A.M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M Van Gilst, Ruud Van Sloun. "SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series" | [Home Page] | [PDF]

• Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot. "One-Shot Federated Conformal Prediction" | [Home Page] | [PDF]

• Aamal Hussain, Francesco Belardinelli, Dario Paccagnan. "The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics" | [Home Page] | [PDF]

• Taehyun Hwang, Kyuwook Chai, Min-Hwan Oh. "Combinatorial Neural Bandits" | [Home Page] | [PDF]

• Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang. "MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action" | [Home Page] | [PDF]

• Hyeongjoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim. "Information-Theoretic State Space Model for Multi-View Reinforcement Learning" | [Home Page] | [PDF]

• Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo. "Under-Counted Tensor Completion with Neural Incorporation of Attributes" | [Home Page] | [PDF]

• Alexander Immer, Christoph Schultheiss, Julia E Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx. "On the Identifiability and Estimation of Causal Location-Scale Noise Models" | [Home Page] | [PDF]

• Alexander Immer, Tycho F. A. Van Der Ouderaa, Mark Van Der Wilk, Gunnar Ratsch, Bernhard Schölkopf. "Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels" | [Home Page] | [PDF]

• Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni. "Differentially Private Hierarchical Clustering with Provable Approximation Guarantees" | [Home Page] | [PDF]

• Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv. "Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods" | [Home Page] | [PDF]

• Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm Van Seijen, Remi Tachet Des Combes, John Langford. "Principled Offline RL in the Presence of Rich Exogenous Information" | [Home Page] | [PDF]

• Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard. "Unveiling the Latent Space Geometry of Push-Forward Generative Models" | [Home Page] | [PDF]

• Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster. "CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design" | [Home Page] | [PDF]

• Maor Ivgi, Oliver Hinder, Yair Carmon. "DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule" | [Home Page] | [PDF]

• Gaurav Iyer, Boris Hanin, David Rolnick. "Maximal Initial Learning Rates in Deep ReLU Networks" | [Home Page] | [PDF]

• Zachary Izzo, Ruishan Liu, James Zou. "Data-Driven Subgroup Identification for Linear Regression" | [Home Page] | [PDF]

• Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar. "Efficient Training of Language Models using Few-Shot Learning" | [Home Page] | [PDF]

• Allan Jabri, David J. Fleet, Ting Chen. "Scalable Adaptive Computation for Iterative Generation" | [Home Page] | [PDF]

• Andrew Jacobsen, Ashok Cutkosky. "Unconstrained Online Learning with Unbounded Losses" | [Home Page] | [PDF]

• Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio. "Multi-Objective GFlowNets" | [Home Page] | [PDF]

• Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith. "The Price of Differential Privacy under Continual Observation" | [Home Page] | [PDF]

• Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang. "Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication" | [Home Page] | [PDF]

• Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang. "Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models" | [Home Page] | [PDF]

• Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo. "Exploring the Benefits of Training Expert Language Models over Instruction Tuning" | [Home Page] | [PDF]

• Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, Byungok Han. "Learning to Boost Training by Periodic Nowcasting Near Future Weights" | [Home Page] | [PDF]

• Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner. "Unscented Autoencoder" | [Home Page] | [PDF]

• Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko. "Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments" | [Home Page] | [PDF]

• Kishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani. "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning" | [Home Page] | [PDF]

• Hyeonsu Jeong, Hye Won Chung. "Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing" | [Home Page] | [PDF]

• Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay. "Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks" | [Home Page] | [PDF]

• Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li. "Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions" | [Home Page] | [PDF]

• Su Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A Li, R. Ravi. "Short-lived High-volume Bandits" | [Home Page] | [PDF]

• Su Jia, Qian Xie, Nathan Kallus, Peter I. Frazier. "Smooth Non-stationary Bandits" | [Home Page] | [PDF]

• Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu. "A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates" | [Home Page] | [PDF]

• Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan. "VIMA: Robot Manipulation with Multimodal Prompts" | [Home Page] | [PDF]

• Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson. "Estimating Causal Effects using a Multi-task Deep Ensemble" | [Home Page] | [PDF]

• Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou. "Online Restless Bandits with Unobserved States" | [Home Page] | [PDF]

• Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han. "Detecting Out-of-distribution Data through In-distribution Class Prior" | [Home Page] | [PDF]

• Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk. "Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks" | [Home Page] | [PDF]

• Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang. "Learning Unnormalized Statistical Models via Compositional Optimization" | [Home Page] | [PDF]

• Ziwei Jiang, Lai Wei, Murat Kocaoglu. "Approximate Causal Effect Identification under Weak Confounding" | [Home Page] | [PDF]

• Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu. "MEWL: Few-shot multimodal word learning with referential uncertainty" | [Home Page] | [PDF]

• Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao. "NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes" | [Home Page] | [PDF]

• Weisen Jiang, Yu Zhang, James Kwok. "Effective Structured Prompting by Meta-Learning and Representative Verbalizer" | [Home Page] | [PDF]

• Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee. "Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing" | [Home Page] | [PDF]

• Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu. "Thompson Sampling with Less Exploration is Fast and Optimal" | [Home Page] | [PDF]

• Daniel D. Johnson, Daniel Tarlow, Christian Walder. "R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents" | [Home Page] | [PDF]

• Erik Jones, Anca Dragan, Aditi Raghunathan, Jacob Steinhardt. "Automatically Auditing Large Language Models via Discrete Optimization" | [Home Page] | [PDF]

• Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis, Taco Cohen, Pietro Lio. "On the Expressive Power of Geometric Graph Neural Networks" | [Home Page] | [PDF]

• Siddharth Joshi, Baharan Mirzasoleiman. "Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least" | [Home Page] | [PDF]

• Kishor Jothimurugan, Steve Hsu, Osbert Bastani, Rajeev Alur. "Robust Subtask Learning for Compositional Generalization" | [Home Page] | [PDF]

• Amir Joudaki, Hadi Daneshmand, Francis Bach. "On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization" | [Home Page] | [PDF]

• Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev. "FARE: Provably Fair Representation Learning with Practical Certificates" | [Home Page] | [PDF]

• Seungjin Jung, Seungmo Seo, Yonghyun Jeong, Jongwon Choi. "Scaling of Class-wise Training Losses for Post-hoc Calibration" | [Home Page] | [PDF]

• Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang. "Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation" | [Home Page] | [PDF]

• Yonghan Jung, Jin Tian, Elias Bareinboim. "Estimating Joint Treatment Effects by Combining Multiple Experiments" | [Home Page] | [PDF]

• Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski. "The Catalog Problem: Clustering and Ordering Variable-Sized Sets" | [Home Page] | [PDF]

• Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh. "Equivariance with Learned Canonicalization Functions" | [Home Page] | [PDF]

• Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami. "Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies" | [Home Page] | [PDF]

• Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas. "Statistical Indistinguishability of Learning Algorithms" | [Home Page] | [PDF]

• Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi. "Identifying Interpretable Subspaces in Image Representations" | [Home Page] | [PDF]

• David Kaltenpoth, Jilles Vreeken. "Nonlinear Causal Discovery with Latent Confounders" | [Home Page] | [PDF]

• Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin. "Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search" | [Home Page] | [PDF]

• Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida. "One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training" | [Home Page] | [PDF]

• Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel. "Large Language Models Struggle to Learn Long-Tail Knowledge" | [Home Page] | [PDF]

• Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel. "Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models" | [Home Page] | [PDF]

• Ayano Kaneda, Osman Akar, Jingyu Chen, Victoria Alicia Trevino Kala, David Hyde, Joseph Teran. "A Deep Conjugate Direction Method for Iteratively Solving Linear Systems" | [Home Page] | [PDF]

• Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak. "Leveraging Proxy of Training Data for Test-Time Adaptation" | [Home Page] | [PDF]

• Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang. "Beyond Reward: Offline Preference-guided Policy Optimization" | [Home Page] | [PDF]

• Siteng Kang, Zhan Shi, Xinhua Zhang. "Poisoning Generative Replay in Continual Learning to Promote Forgetting" | [Home Page] | [PDF]

• Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay. "Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks" | [Home Page] | [PDF]

• Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa. "Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias" | [Home Page] | [PDF]

• Amin Karbasi, Nikki Lijing Kuang, Yian Ma, Siddharth Mitra. "Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning" | [Home Page] | [PDF]

• Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim. "On the Relationship Between Explanation and Prediction: A Causal View" | [Home Page] | [PDF]

• Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee. "Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis" | [Home Page] | [PDF]

• Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann. "General Sequential Episodic Memory Model" | [Home Page] | [PDF]

• Takayuki Katsuki, Takayuki Osogami. "Regression with Sensor Data Containing Incomplete Observations" | [Home Page] | [PDF]

• Ilya Kaufman, Omri Azencot. "Data Representations’ Study of Latent Image Manifolds" | [Home Page] | [PDF]

• Prannay Kaul, Weidi Xie, Andrew Zisserman. "Multi-Modal Classifiers for Open-Vocabulary Object Detection" | [Home Page] | [PDF]

• Chinmaya Kausik, Kevin Tan, Ambuj Tewari. "Learning Mixtures of Markov Chains and MDPs" | [Home Page] | [PDF]

• Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber. "Curious Replay for Model-based Adaptation" | [Home Page] | [PDF]

• Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang. "How Does Information Bottleneck Help Deep Learning?" | [Home Page] | [PDF]

• Yuta Kawakami, Manabu Kuroki, Jin Tian. "Instrumental Variable Estimation of Average Partial Causal Effects" | [Home Page] | [PDF]

• Zeki Kazan, Kaiyan Shi, Adam Groce, Andrew P Bray. "The Test of Tests: A Framework for Differentially Private Hypothesis Testing" | [Home Page] | [PDF]

• Chuyang Ke, Jean Honorio. "Exact Inference in High-order Structured Prediction" | [Home Page] | [PDF]

• T. Anderson Keller, Max Welling. "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks" | [Home Page] | [PDF]

• Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F Grewe, Bernhard Schölkopf. "Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions" | [Home Page] | [PDF]

• Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry. "Rethinking Backdoor Attacks" | [Home Page] | [PDF]

• Adam Khakhar, Stephen Mell, Osbert Bastani. "PAC Prediction Sets for Large Language Models of Code" | [Home Page] | [PDF]

• Mohammad Khalafi, Digvijay Boob. "Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems" | [Home Page] | [PDF]

• Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan. "Loss Balancing for Fair Supervised Learning" | [Home Page] | [PDF]

• Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong. "Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach" | [Home Page] | [PDF]

• Mahyar Khayatkhoei, Wael Abdalmageed. "Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions" | [Home Page] | [PDF]

• Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii. "Learning-augmented private algorithms for multiple quantile release" | [Home Page] | [PDF]

• Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien. "CrossSplit: Mitigating Label Noise Memorization through Data Splitting" | [Home Page] | [PDF]

• Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy. "Trainability, Expressivity and Interpretability in Gated Neural ODEs" | [Home Page] | [PDF]

• Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon. "SAAL: Sharpness-Aware Active Learning" | [Home Page] | [PDF]

• Jigang Kim, Daesol Cho, H. Jin Kim. "Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum" | [Home Page] | [PDF]

• Wonyoung Kim, Garud Iyengar, Assaf Zeevi. "Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback" | [Home Page] | [PDF]

• Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song. "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" | [Home Page] | [PDF]

• Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon. "Probabilistic Concept Bottleneck Models" | [Home Page] | [PDF]

• Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park. "DevFormer: A Symmetric Transformer for Context-Aware Device Placement" | [Home Page] | [PDF]

• Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon. "Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models" | [Home Page] | [PDF]

• Junghoon Kim, Taejoon Kim, David Love, Christopher Brinton. "Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning" | [Home Page] | [PDF]

• Woojun Kim, Jeonghye Kim, Youngchul Sung. "LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework" | [Home Page] | [PDF]

• Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun. "BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models" | [Home Page] | [PDF]

• Seunghyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee. "Probabilistic Imputation for Time-series Classification with Missing Data" | [Home Page] | [PDF]

• Seongun Kim, Kyowoon Lee, Jaesik Choi. "Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills" | [Home Page] | [PDF]

• Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang. "Margin-based Neural Network Watermarking" | [Home Page] | [PDF]

• Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee. "Regularizing Towards Soft Equivariance Under Mixed Symmetries" | [Home Page] | [PDF]

• Byeongchan Kim, Min-Hwan Oh. "Model-based Offline Reinforcement Learning with Count-based Conservatism" | [Home Page] | [PDF]

• Chanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim. "Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization" | [Home Page] | [PDF]

• Junetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun-Young Kim. "SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes" | [Home Page] | [PDF]

• Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho. "Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning" | [Home Page] | [PDF]

• Jaehyung Kim, Jinwoo Shin, Dongyeop Kang. "Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning" | [Home Page] | [PDF]

• Woojun Kim, Youngchul Sung. "An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner. "Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference" | [Home Page] | [PDF]

• Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu. "Learnability and Algorithm for Continual Learning" | [Home Page] | [PDF]

• Jungbin Kim, Insoon Yang. "Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions" | [Home Page] | [PDF]

• Beomsu Kim, Jong Chul Ye. "Denoising MCMC for Accelerating Diffusion-Based Generative Models" | [Home Page] | [PDF]

• Dale Kim, Qing Zhou. "Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs" | [Home Page] | [PDF]

• Kwangho Kim, Jose R Zubizarreta. "Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning" | [Home Page] | [PDF]

• Dhamma Kimpara, Rafael Frongillo, Bo Waggoner. "Proper Losses for Discrete Generative Models" | [Home Page] | [PDF]

• Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-Ichi Maeda. "Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network" | [Home Page] | [PDF]

• John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein. "A Watermark for Large Language Models" | [Home Page] | [PDF]

• Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh. "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs" | [Home Page] | [PDF]

• Matthias Kirchler, Christoph Lippert, Marius Kloft. "Training Normalizing Flows from Dependent Data" | [Home Page] | [PDF]

• Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q Weinberger. "IncDSI: Incrementally Updatable Document Retrieval" | [Home Page] | [PDF]

• Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo. "Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice" | [Home Page] | [PDF]

• Leo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M Morris, Charlotte Deane, Yee Whye Teh. "Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions" | [Home Page] | [PDF]

• Martin Klissarov, Marlos C. Machado. "Deep Laplacian-based Options for Temporally-Extended Exploration" | [Home Page] | [PDF]

• Marina Knittel, Max Springer, John P Dickerson, Mohammadtaghi Hajiaghayi. "Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost" | [Home Page] | [PDF]

• Boris Knyazev, Doha Hwang, Simon Lacoste-Julien. "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" | [Home Page] | [PDF]

• Tomáš Kocák, Alexandra Carpentier. "Online Learning with Feedback Graphs: The True Shape of Regret" | [Home Page] | [PDF]

• Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried. "Grounding Language Models to Images for Multimodal Inputs and Outputs" | [Home Page] | [PDF]

• Jonas Köhler, Michele Invernizzi, Pim De Haan, Frank Noe. "Rigid Body Flows for Sampling Molecular Crystal Structures" | [Home Page] | [PDF]

• Nils Kohring, Fabian Raoul Pieroth, Martin Bichler. "Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets" | [Home Page] | [PDF]

• Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich. "Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees" | [Home Page] | [PDF]

• Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge. "On Computing Optimal Tree Ensembles" | [Home Page] | [PDF]

• Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein. "GOAT: A Global Transformer on Large-scale Graphs" | [Home Page] | [PDF]

• Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang. "Autoregressive Diffusion Model for Graph Generation" | [Home Page] | [PDF]

• Xiangzhe Kong, Wenbing Huang, Yang Liu. "End-to-End Full-Atom Antibody Design" | [Home Page] | [PDF]

• Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim. "Covariate balancing using the integral probability metric for causal inference" | [Home Page] | [PDF]

• Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim. "Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference" | [Home Page] | [PDF]

• Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu. "Parameter-Level Soft-Masking for Continual Learning" | [Home Page] | [PDF]

• Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez. "Pretraining Language Models with Human Preferences" | [Home Page] | [PDF]

• Ezgi Korkmaz, Jonah Brown-Cohen. "Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions" | [Home Page] | [PDF]

• Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann. "Ewald-based Long-Range Message Passing for Molecular Graphs" | [Home Page] | [PDF]

• Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko. "TabDDPM: Modelling Tabular Data with Diffusion Models" | [Home Page] | [PDF]

• Vignesh Kothapalli. "Randomized Schur Complement Views for Graph Contrastive Learning" | [Home Page] | [PDF]

• Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu. "Benign Overfitting in Two-layer ReLU Convolutional Neural Networks" | [Home Page] | [PDF]

• Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera. "Variational Mixture of HyperGenerators for Learning Distributions over Functions" | [Home Page] | [PDF]

• Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon. "Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond" | [Home Page] | [PDF]

• Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu. "Estimation Beyond Data Reweighting: Kernel Method of Moments" | [Home Page] | [PDF]

• Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang. "Multi-Task Differential Privacy Under Distribution Skew" | [Home Page] | [PDF]

• Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju. "Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten" | [Home Page] | [PDF]

• Sanjukta Krishnagopal, Luana Ruiz. "Graph Neural Tangent Kernel: Convergence on Large Graphs" | [Home Page] | [PDF]

• Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover. "Diffusion Models for Black-Box Optimization" | [Home Page] | [PDF]

• Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox. "Learning to Design Analog Circuits to Meet Threshold Specifications" | [Home Page] | [PDF]

• Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou. "Variance Control for Distributional Reinforcement Learning" | [Home Page] | [PDF]

• Kalle Kujanpää, Joni Pajarinen, Alexander Ilin. "Hierarchical Imitation Learning with Vector Quantized Models" | [Home Page] | [PDF]

• Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli. "SinDDM: A Single Image Denoising Diffusion Model" | [Home Page] | [PDF]

• Sean Kulinski, David I. Inouye. "Towards Explaining Distribution Shifts" | [Home Page] | [PDF]

• Manoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar. "Featured Graph Coarsening with Similarity Guarantees" | [Home Page] | [PDF]

• Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martı́n-Martı́n. "Modeling Dynamic Environments with Scene Graph Memory" | [Home Page] | [PDF]

• Emirhan Kurtuluş, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk. "Tied-Augment: Controlling Representation Similarity Improves Data Augmentation" | [Home Page] | [PDF]

• Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Vı́ctor Elvira, Jens Lagergren. "Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders" | [Home Page] | [PDF]

• Min-Seop Kwak, Jiuhn Song, Seungryong Kim. "GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency" | [Home Page] | [PDF]

• Sehyun Kwon, Joo Young Choi, Ernest K. Ryu. "Rotation and Translation Invariant Representation Learning with Implicit Neural Representations" | [Home Page] | [PDF]

• Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor. "Reward-Mixing MDPs with Few Latent Contexts are Learnable" | [Home Page] | [PDF]

• Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak. "A Fully First-Order Method for Stochastic Bilevel Optimization" | [Home Page] | [PDF]

• Dohyun Kwon, Hanbaek Lyu. "Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning" | [Home Page] | [PDF]

• Yongchan Kwon, James Zou. "Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value" | [Home Page] | [PDF]

• Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra. "Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning" | [Home Page] | [PDF]

• Sebastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand. "Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning" | [Home Page] | [PDF]

• Steinar Laenen, Bogdan Adrian Manghiuc, He Sun. "Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs" | [Home Page] | [PDF]

• Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome. "Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection" | [Home Page] | [PDF]

• Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-Garcı́a, Lena Nehale Ezzine, Yoshua Bengio, Nikolay Malkin. "A theory of continuous generative flow networks" | [Home Page] | [PDF]

• Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon. "Automatically marginalized MCMC in probabilistic programming" | [Home Page] | [PDF]

• Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida Wang, Tao Yu. "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation" | [Home Page] | [PDF]

• Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo. "ChiPFormer: Transferable Chip Placement via Offline Decision Transformer" | [Home Page] | [PDF]

• Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon. "FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation" | [Home Page] | [PDF]

• Clément Lalanne, Aurélien Garivier, Rémi Gribonval. "Private Statistical Estimation of Many Quantiles" | [Home Page] | [PDF]

• Henry Lam, Zhenyuan Liu. "Bootstrap in High Dimension with Low Computation" | [Home Page] | [PDF]

• Kevin H Lam, Christian Walder, Spiridon Penev, Richard Nock. "LegendreTron: Uprising Proper Multiclass Loss Learning" | [Home Page] | [PDF]

• Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen. "Metagenomic Binning using Connectivity-constrained Variational Autoencoders" | [Home Page] | [PDF]

• Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov. "Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback" | [Home Page] | [PDF]

• Robert Tjarko Lange, Henning Sprekeler. "Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability" | [Home Page] | [PDF]

• Romain Laroche, Remi Tachet Des Combes. "On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs" | [Home Page] | [PDF]

• Alexandra Anna Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter. "Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints" | [Home Page] | [PDF]

• Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii. "Speeding Up Bellman Ford via Minimum Violation Permutations" | [Home Page] | [PDF]

• Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D Dennis, Stuart Russell. "Who Needs to Know? Minimal Knowledge for Optimal Coordination" | [Home Page] | [PDF]

• Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux. "Target-based Surrogates for Stochastic Optimization" | [Home Page] | [PDF]

• Connor Lawless, Oktay Gunluk. "Cluster Explanation via Polyhedral Descriptions" | [Home Page] | [PDF]

• Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab. "Pre-training for Speech Translation: CTC Meets Optimal Transport" | [Home Page] | [PDF]

• Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney. "Bootstrapped Representations in Reinforcement Learning" | [Home Page] | [PDF]

• Tosca Lechner, Ruth Urner, Shai Ben-David. "Strategic Classification with Unknown User Manipulations" | [Home Page] | [PDF]

• Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang. "Learning in POMDPs is Sample-Efficient with Hindsight Observability" | [Home Page] | [PDF]

• Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin. "Towards Deep Attention in Graph Neural Networks: Problems and Remedies" | [Home Page] | [PDF]

• Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang. "InGram: Inductive Knowledge Graph Embedding via Relation Graphs" | [Home Page] | [PDF]

• Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama. "Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits" | [Home Page] | [PDF]

• Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park. "Conditional Graph Information Bottleneck for Molecular Relational Learning" | [Home Page] | [PDF]

• Seul Lee, Jaehyeong Jo, Sung Ju Hwang. "Exploring Chemical Space with Score-based Out-of-distribution Generation" | [Home Page] | [PDF]

• Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova. "Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding" | [Home Page] | [PDF]

• Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee. "FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization" | [Home Page] | [PDF]

• Chaejeong Lee, Jayoung Kim, Noseong Park. "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis" | [Home Page] | [PDF]

• Sangyun Lee, Beomsu Kim, Jong Chul Ye. "Minimizing Trajectory Curvature of ODE-based Generative Models" | [Home Page] | [PDF]

• Hangbin Lee, Youngjo Lee. "H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features" | [Home Page] | [PDF]

• Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo. "On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning" | [Home Page] | [PDF]

• Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee. "HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption" | [Home Page] | [PDF]

• Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee. "QASA: Advanced Question Answering on Scientific Articles" | [Home Page] | [PDF]

• Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani. "Demystifying Disagreement-on-the-Line in High Dimensions" | [Home Page] | [PDF]

• Wonyeol Lee, Sejun Park, Alex Aiken. "On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters" | [Home Page] | [PDF]

• Sungyoon Lee, Jinseong Park, Jaewook Lee. "Implicit Jacobian regularization weighted with impurity of probability output" | [Home Page] | [PDF]

• Sang-Hyun Lee, Seung-Woo Seo. "Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments" | [Home Page] | [PDF]

• Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou. "Generalization Analysis for Contrastive Representation Learning" | [Home Page] | [PDF]

• Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar. "Learning Control by Iterative Inversion" | [Home Page] | [PDF]

• Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault-Levasseur. "Sampling-Based Accuracy Testing of Posterior Estimators for General Inference" | [Home Page] | [PDF]

• Yaniv Leviathan, Matan Kalman, Yossi Matias. "Fast Inference from Transformers via Speculative Decoding" | [Home Page] | [PDF]

• Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour. "Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation" | [Home Page] | [PDF]

• Dan Ley, Saumitra Mishra, Daniele Magazzeni. "GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations" | [Home Page] | [PDF]

• Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu. "TIPS: Topologically Important Path Sampling for Anytime Neural Networks" | [Home Page] | [PDF]

• Anqi Li, Byron Boots, Ching-An Cheng. "MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations" | [Home Page] | [PDF]

• Alexander Cong Li, Ellis Langham Brown, Alexei A Efros, Deepak Pathak. "Internet Explorer: Targeted Representation Learning on the Open Web" | [Home Page] | [PDF]

• Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou. "Prototype-oriented unsupervised anomaly detection for multivariate time series" | [Home Page] | [PDF]

• Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik. "Learning Preconditioners for Conjugate Gradient PDE Solvers" | [Home Page] | [PDF]

• Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal. "Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation" | [Home Page] | [PDF]

• Li’Ang Li, Yifei Duan, Guanghua Ji, Yongqiang Cai. "Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation" | [Home Page] | [PDF]

• Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu. "FAIRER: Fairness as Decision Rationale Alignment" | [Home Page] | [PDF]

• Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu. "RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution" | [Home Page] | [PDF]

• Qinbin Li, Bingsheng He, Dawn Song. "Adversarial Collaborative Learning on Non-IID Features" | [Home Page] | [PDF]

• Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang. "Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints" | [Home Page] | [PDF]

• Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak. "Transformers as Algorithms: Generalization and Stability in In-context Learning" | [Home Page] | [PDF]

• Rui Li, S. T. John, Arno Solin. "Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models" | [Home Page] | [PDF]

• Shouheng Li, Dongwoo Kim, Qing Wang. "Local Vertex Colouring Graph Neural Networks" | [Home Page] | [PDF]

• Xiaoyun Li, Ping Li. "Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation" | [Home Page] | [PDF]

• Yuchen Li, Yuanzhi Li, Andrej Risteski. "How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding" | [Home Page] | [PDF]

• Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi. "BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models" | [Home Page] | [PDF]

• Junfan Li, Shizhong Liao. "Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression" | [Home Page] | [PDF]

• Zexi Li, Tao Lin, Xinyi Shang, Chao Wu. "Revisiting Weighted Aggregation in Federated Learning with Neural Networks" | [Home Page] | [PDF]

• Shaojie Li, Yong Liu. "Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction" | [Home Page] | [PDF]

• Jian Li, Yong Liu, Weiping Wang. "Optimal Convergence Rates for Agnostic Nyström Kernel Learning" | [Home Page] | [PDF]

• Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang. "Reconstructive Neuron Pruning for Backdoor Defense" | [Home Page] | [PDF]

• Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe. "Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks" | [Home Page] | [PDF]

• Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph. "Deep Anomaly Detection under Labeling Budget Constraints" | [Home Page] | [PDF]

• Jiahang Li, Yakun Song, Xiang Song, David Wipf. "On the Initialization of Graph Neural Networks" | [Home Page] | [PDF]

• Xiaoxiao Li, Zhao Song, Jiaming Yang. "Federated Adversarial Learning: A Framework with Convergence Analysis" | [Home Page] | [PDF]

• Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang. "How Powerful are Shallow Neural Networks with Bandlimited Random Weights?" | [Home Page] | [PDF]

• Xiantao Li, Chunhao Wang. "Efficient Quantum Algorithms for Quantum Optimal Control" | [Home Page] | [PDF]

• Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang. "Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling" | [Home Page] | [PDF]

• Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha. "Hierarchical Diffusion for Offline Decision Making" | [Home Page] | [PDF]

• Wanshan Li, Daren Wang, Alessandro Rinaldo. "Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions" | [Home Page] | [PDF]

• Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li. "Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN" | [Home Page] | [PDF]

• Peizhao Li, Ethan Xia, Hongfu Liu. "Learning Antidote Data to Individual Unfairness" | [Home Page] | [PDF]

• Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui. "Propensity Matters: Measuring and Enhancing Balancing for Recommendation" | [Home Page] | [PDF]

• Yuwen Li, Miao Xiong, Bryan Hooi. "GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks" | [Home Page] | [PDF]

• Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha. "SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process" | [Home Page] | [PDF]

• Shengshi Li, Lin Yang. "Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds" | [Home Page] | [PDF]

• Weixin Li, Xiaodong Yang. "Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving" | [Home Page] | [PDF]

• Pengfei Li, Jianyi Yang, Shaolei Ren. "Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees" | [Home Page] | [PDF]

• Songze Li, Duanyi Yao, Jin Liu. "FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models" | [Home Page] | [PDF]

• Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang. "Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints" | [Home Page] | [PDF]

• Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao. "LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation" | [Home Page] | [PDF]

• Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael Jordan. "Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization" | [Home Page] | [PDF]

• Chao Li, Junhua Zeng, Chunmei Li, Cesar F Caiafa, Qibin Zhao. "Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations" | [Home Page] | [PDF]

• Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine. "Understanding the Complexity Gains of Single-Task RL with a Curriculum" | [Home Page] | [PDF]

• Mingjie Li, Quanshi Zhang. "Does a Neural Network Really Encode Symbolic Concepts?" | [Home Page] | [PDF]

• Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan. "Cooperative Open-ended Learning Framework for Zero-Shot Coordination" | [Home Page] | [PDF]

• Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang. "Offline Reinforcement Learning with Closed-Form Policy Improvement Operators" | [Home Page] | [PDF]

• Shaoang Li, Lan Zhang, Yingqi Yu, Xiangyang Li. "Optimal Arms Identification with Knapsacks" | [Home Page] | [PDF]

• Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter. "Internally Rewarded Reinforcement Learning" | [Home Page] | [PDF]

• Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu. "Trustworthy Policy Learning under the Counterfactual No-Harm Criterion" | [Home Page] | [PDF]

• Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao. "Structured Cooperative Learning with Graphical Model Priors" | [Home Page] | [PDF]

• Enming Liang, Minghua Chen, Steven Low. "Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set" | [Home Page] | [PDF]

• Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu. "Consistency of Multiple Kernel Clustering" | [Home Page] | [PDF]

• Hao Liang, Zhi-Quan Luo. "A Distribution Optimization Framework for Confidence Bounds of Risk Measures" | [Home Page] | [PDF]

• Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou. "Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations" | [Home Page] | [PDF]

• Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo. "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners" | [Home Page] | [PDF]

• Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian. "Learning Compiler Pass Orders using Coreset and Normalized Value Prediction" | [Home Page] | [PDF]

• Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. "Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples" | [Home Page] | [PDF]

• James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang. "CLUSTSEG: Clustering for Universal Segmentation" | [Home Page] | [PDF]

• Ziyi Liang, Yanfei Zhou, Matteo Sesia. "Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping" | [Home Page] | [PDF]

• Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao. "Less is More: Task-aware Layer-wise Distillation for Language Model Compression" | [Home Page] | [PDF]

• Luofeng Liao, Christian Kroer. "Statistical Inference and A/B Testing for First-Price Pacing Equilibria" | [Home Page] | [PDF]

• Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis. "Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization" | [Home Page] | [PDF]

• Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang. "Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization" | [Home Page] | [PDF]

• Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther. "Variational Open-Domain Question Answering" | [Home Page] | [PDF]

• Yeqing Lin, Mohammed Alquraishi. "Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds" | [Home Page] | [PDF]

• Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon. "Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning" | [Home Page] | [PDF]

• Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt. "Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning" | [Home Page] | [PDF]

• Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen. "Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise" | [Home Page] | [PDF]

• Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu. "Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations" | [Home Page] | [PDF]

• Sen Lin, Peizhong Ju, Yingbin Liang, Ness Shroff. "Theory on Forgetting and Generalization of Continual Learning" | [Home Page] | [PDF]

• Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas. "Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization" | [Home Page] | [PDF]

• Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang. "Safe Offline Reinforcement Learning with Real-Time Budget Constraints" | [Home Page] | [PDF]

• Alexander Lin, Bahareh Tolooshams, Yves Atchade, Demba E. Ba. "Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models" | [Home Page] | [PDF]

• Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun. "Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control" | [Home Page] | [PDF]

• Chieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh, Ming-Hsuan Yang. "Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features" | [Home Page] | [PDF]

• Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low. "Fair yet Asymptotically Equal Collaborative Learning" | [Home Page] | [PDF]

• Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji. "Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction" | [Home Page] | [PDF]

• Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang. "Continuation Path Learning for Homotopy Optimization" | [Home Page] | [PDF]

• Alexander Lindermayr, Nicole Megow, Martin Rapp. "Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary" | [Home Page] | [PDF]

• Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou. "Graph Mixup with Soft Alignments" | [Home Page] | [PDF]

• Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao. "Deep Graph Representation Learning and Optimization for Influence Maximization" | [Home Page] | [PDF]

• Hao Liu, Pieter Abbeel. "Emergent Agentic Transformer from Chain of Hindsight Experience" | [Home Page] | [PDF]

• Tommy Liu, Amanda S Barnard. "Shapley Based Residual Decomposition for Instance Analysis" | [Home Page] | [PDF]

• Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela Van Der Schaar. "Learning Representations without Compositional Assumptions" | [Home Page] | [PDF]

• Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen. "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting" | [Home Page] | [PDF]

• Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, Hanqin Cai. "Towards Constituting Mathematical Structures for Learning to Optimize" | [Home Page] | [PDF]

• Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D Plumbley. "AudioLDM: Text-to-Audio Generation with Latent Diffusion Models" | [Home Page] | [PDF]

• Yang Liu, Hao Cheng, Kun Zhang. "Identifiability of Label Noise Transition Matrix" | [Home Page] | [PDF]

• Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang. "A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining" | [Home Page] | [PDF]

• Xing Liu, Andrew B. Duncan, Axel Gandy. "Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy" | [Home Page] | [PDF]

• Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao. "Cones: Concept Neurons in Diffusion Models for Customized Generation" | [Home Page] | [PDF]

• Weiming Liu, Haobo Fu, Qiang Fu, Yang Wei. "Opponent-Limited Online Search for Imperfect Information Games" | [Home Page] | [PDF]

• Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao. "Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data" | [Home Page] | [PDF]

• Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao. "Constrained Decision Transformer for Offline Safe Reinforcement Learning" | [Home Page] | [PDF]

• Liang Liu, Yanan Guo, Youtao Zhang, Jun Yang. "Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer" | [Home Page] | [PDF]

• Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu. "NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data" | [Home Page] | [PDF]

• Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun. "Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs" | [Home Page] | [PDF]

• Yi Liu, Qirui Hu, Lei Ding, Linglong Kong. "Online Local Differential Private Quantile Inference via Self-normalization" | [Home Page] | [PDF]

• Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio. "GFlowOut: Dropout with Generative Flow Networks" | [Home Page] | [PDF]

• Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia. "2D-Shapley: A Framework for Fragmented Data Valuation" | [Home Page] | [PDF]

• Chenxi Liu, Kun Kuang. "Causal Structure Learning for Latent Intervened Non-stationary Data" | [Home Page] | [PDF]

• Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li. "Structural Re-weighting Improves Graph Domain Adaptation" | [Home Page] | [PDF]

• Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li. "Dink-Net: Neural Clustering on Large Graphs" | [Home Page] | [PDF]

• Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng. "Oscillation-free Quantization for Low-bit Vision Transformers" | [Home Page] | [PDF]

• Xuejie Liu, Anji Liu, Guy Van Den Broeck, Yitao Liang. "Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits" | [Home Page] | [PDF]

• Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang. "Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity" | [Home Page] | [PDF]

• Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves. "Graph Switching Dynamical Systems" | [Home Page] | [PDF]

• Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen. "High Probability Convergence of Stochastic Gradient Methods" | [Home Page] | [PDF]

• Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang. "OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models" | [Home Page] | [PDF]

• Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, D. Zhang. "Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning" | [Home Page] | [PDF]

• Zirui Liu, Chen Shengyuan, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu. "RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations" | [Home Page] | [PDF]

• Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser. "Algorithms for bounding contribution for histogram estimation under user-level privacy" | [Home Page] | [PDF]

• Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn. "Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning" | [Home Page] | [PDF]

• Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu. "Generating Private Synthetic Data with Genetic Algorithms" | [Home Page] | [PDF]

• Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu. "FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning" | [Home Page] | [PDF]

• Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar. "I$^2$SB: Image-to-Image Schrödinger Bridge" | [Home Page] | [PDF]

• Fanghui Liu, Luca Viano, Volkan Cevher. "What can online reinforcement learning with function approximation benefit from general coverage conditions?" | [Home Page] | [PDF]

• Zhaoyan Liu, Noël Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem. "TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation" | [Home Page] | [PDF]

• Chong Liu, Yu-Xiang Wang. "Global Optimization with Parametric Function Approximation" | [Home Page] | [PDF]

• Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen. "Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time" | [Home Page] | [PDF]

• Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu. "Trapdoor Normalization with Irreversible Ownership Verification" | [Home Page] | [PDF]

• Hong Liu, Sang Michael Xie, Zhiyuan Li, Tengyu Ma. "Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models" | [Home Page] | [PDF]

• Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang. "Taxonomy-Structured Domain Adaptation" | [Home Page] | [PDF]

• Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell. "Dropout Reduces Underfitting" | [Home Page] | [PDF]

• Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng. "Revisiting Pseudo-Label for Single-Positive Multi-Label Learning" | [Home Page] | [PDF]

• Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu. "Retrosynthetic Planning with Dual Value Networks" | [Home Page] | [PDF]

• Xin Liu, Zixian Yang, Lei Ying. "Online Nonstochastic Control with Adversarial and Static Constraints" | [Home Page] | [PDF]

• Tianci Liu, Tong Yang, Quan Zhang, Qi Lei. "Optimization for Amortized Inverse Problems" | [Home Page] | [PDF]

• Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew Walter, Yuxin Chen. "Active Policy Improvement from Multiple Black-box Oracles" | [Home Page] | [PDF]

• Weitang Liu, Yi-Zhuang You, Ying Wai Li, Jingbo Shang. "Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space" | [Home Page] | [PDF]

• Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao. "VectorMapNet: End-to-end Vectorized HD Map Learning" | [Home Page] | [PDF]

• Xiangyu Liu, Kaiqing Zhang. "Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing" | [Home Page] | [PDF]

• Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu. "Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning" | [Home Page] | [PDF]

• Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang. "D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching" | [Home Page] | [PDF]

• Zhuoran Liu, Zhengyu Zhao, Martha Larson. "Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression" | [Home Page] | [PDF]

• Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang. "Which Invariance Should We Transfer? A Causal Minimax Learning Approach" | [Home Page] | [PDF]

• Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q Weinberger. "Unsupervised Out-of-Distribution Detection with Diffusion Inpainting" | [Home Page] | [PDF]

• Zichuan Liu, Yuanyang Zhu, Chunlin Chen. "N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning" | [Home Page] | [PDF]

• Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen. "Contextual Combinatorial Bandits with Probabilistically Triggered Arms" | [Home Page] | [PDF]

• Sam Lobel, Akhil Bagaria, George Konidaris. "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning" | [Home Page] | [PDF]

• Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava. "Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries" | [Home Page] | [PDF]

• Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, Adam Roberts. "The Flan Collection: Designing Data and Methods for Effective Instruction Tuning" | [Home Page] | [PDF]

• Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus. "Dataset Distillation with Convexified Implicit Gradients" | [Home Page] | [PDF]

• Aaron Lou, Stefano Ermon. "Reflected Diffusion Models" | [Home Page] | [PDF]

• David Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley. "Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective" | [Home Page] | [PDF]

• Songtao Lu. "Bilevel Optimization with Coupled Decision-Dependent Distributions" | [Home Page] | [PDF]

• Yulong Lu. "Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective" | [Home Page] | [PDF]

• Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh. "STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition" | [Home Page] | [PDF]

• Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu. "Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning" | [Home Page] | [PDF]

• Yiwei Lu, Gautam Kamath, Yaoliang Yu. "Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks" | [Home Page] | [PDF]

• Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan. "QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark" | [Home Page] | [PDF]

• Xuanchen Lu, Xiaolong Wang, Judith E Fan. "Learning Dense Correspondences between Photos and Sketches" | [Home Page] | [PDF]

• Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster. "Adversarial Cheap Talk" | [Home Page] | [PDF]

• Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael Jordan, Ramesh Raskar. "Federated Conformal Predictors for Distributed Uncertainty Quantification" | [Home Page] | [PDF]

• Ekdeep Singh Lubana, Eric J Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka. "Mechanistic Mode Connectivity" | [Home Page] | [PDF]

• Daniel Lundstrom, Meisam Razaviyayn. "A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions" | [Home Page] | [PDF]

• Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li. "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation" | [Home Page] | [PDF]

• Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön. "Image Restoration with Mean-Reverting Stochastic Differential Equations" | [Home Page] | [PDF]

• Xinyu Luo, Christopher Musco, Cas Widdershoven. "Dimensionality Reduction for General KDE Mode Finding" | [Home Page] | [PDF]

• Yuetian Luo, Zhimei Ren, Rina Barber. "Iterative Approximate Cross-Validation" | [Home Page] | [PDF]

• Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song. "A Closer Look at Few-shot Classification Again" | [Home Page] | [PDF]

• Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun. "HOPE: High-order Graph ODE For Modeling Interacting Dynamics" | [Home Page] | [PDF]

• Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu. "Stabilizing GANs’ Training with Brownian Motion Controller" | [Home Page] | [PDF]

• Shahar Lutati, Lior Wolf. "OCD: Learning to Overfit with Conditional Diffusion Models" | [Home Page] | [PDF]

• Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab. "DiscoBAX: Discovery of optimal intervention sets in genomic experiment design" | [Home Page] | [PDF]

• Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney. "Understanding Plasticity in Neural Networks" | [Home Page] | [PDF]

• Lixing Lyu, Wang Chi Cheung. "Bandits with Knapsacks: Advice on Time-Varying Demands" | [Home Page] | [PDF]

• Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo. "Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions" | [Home Page] | [PDF]

• Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova. "Which Tricks are Important for Learning to Rank?" | [Home Page] | [PDF]

• Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik. "Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics" | [Home Page] | [PDF]

• Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman. "LIV: Language-Image Representations and Rewards for Robotic Control" | [Home Page] | [PDF]

• Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim. "Graph Inductive Biases in Transformers without Message Passing" | [Home Page] | [PDF]

• Baorui Ma, Yu-Shen Liu, Zhizhong Han. "Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping" | [Home Page] | [PDF]

• Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster. "Learning Intuitive Policies Using Action Features" | [Home Page] | [PDF]

• Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi. "Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points" | [Home Page] | [PDF]

• Mingchen Ma, Christos Tzamos. "Buying Information for Stochastic Optimization" | [Home Page] | [PDF]

• Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang. "Generated Graph Detection" | [Home Page] | [PDF]

• Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu. "Calibrating Multimodal Learning" | [Home Page] | [PDF]

• Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus. "AutoCoreset: An Automatic Practical Coreset Construction Framework" | [Home Page] | [PDF]

• Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin. "Learning GFlowNets From Partial Episodes For Improved Convergence And Stability" | [Home Page] | [PDF]

• Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu. "Applied Online Algorithms with Heterogeneous Predictors" | [Home Page] | [PDF]

• Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon. "CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations" | [Home Page] | [PDF]

• Peihua Mai, Yan Pang. "Vertical Federated Graph Neural Network for Recommender System" | [Home Page] | [PDF]

• Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang. "Can Neural Network Memorization Be Localized?" | [Home Page] | [PDF]

• Anirudha Majumdar. "Fundamental Tradeoffs in Learning with Prior Information" | [Home Page] | [PDF]

• Alan Malek, Virginia Aglietti, Silvia Chiappa. "Additive Causal Bandits with Unknown Graph" | [Home Page] | [PDF]

• Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh. "Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality" | [Home Page] | [PDF]

• Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora. "A Kernel-Based View of Language Model Fine-Tuning" | [Home Page] | [PDF]

• Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic. "Performative Reinforcement Learning" | [Home Page] | [PDF]

• Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi. "Differential Privacy has Bounded Impact on Fairness in Classification" | [Home Page] | [PDF]

• Yishay Mansour, Richard Nock, Robert Williamson. "Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice" | [Home Page] | [PDF]

• Anqi Mao, Mehryar Mohri, Yutao Zhong. "$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates" | [Home Page] | [PDF]

• Anqi Mao, Mehryar Mohri, Yutao Zhong. "Cross-Entropy Loss Functions: Theoretical Analysis and Applications" | [Home Page] | [PDF]

• Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji. "Supported Trust Region Optimization for Offline Reinforcement Learning" | [Home Page] | [PDF]

• Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick. "Robust Perception through Equivariance" | [Home Page] | [PDF]

• Anna Marbut, Katy Mckinney-Bock, Travis Wheeler. "Reliable Measures of Spread in High Dimensional Latent Spaces" | [Home Page] | [PDF]

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• Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso. "Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal" | [Home Page] | [PDF]

• Adria Marcos Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter Crozier, Carlos Fernandez-Granda. "Evaluating Unsupervised Denoising Requires Unsupervised Metrics" | [Home Page] | [PDF]

• Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados. "Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts" | [Home Page] | [PDF]

• Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois, Nori Jacoby, Thomas L. Griffiths. "Analyzing Diffusion as Serial Reproduction" | [Home Page] | [PDF]

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• Juan Maroñas, Daniel Hernández-Lobato. "Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification" | [Home Page] | [PDF]

• Samuele Marro, Michele Lombardi. "Computational Asymmetries in Robust Classification" | [Home Page] | [PDF]

• Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski. "Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective" | [Home Page] | [PDF]

• Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover. "Generative Pretraining for Black-Box Optimization" | [Home Page] | [PDF]

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• Alessio Mazzetto, Eli Upfal. "Nonparametric Density Estimation under Distribution Drift" | [Home Page] | [PDF]

• Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain. "PAC-Bayesian Generalization Bounds for Adversarial Generative Models" | [Home Page] | [PDF]

• Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T Toshev. "Robustness in Multimodal Learning under Train-Test Modality Mismatch" | [Home Page] | [PDF]

• Mohammad Mehrabi, Ryan A. Rossi. "A Model-free Closeness-of-influence Test for Features in Supervised Learning" | [Home Page] | [PDF]

• Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans. "Stochastic Gradient Succeeds for Bandits" | [Home Page] | [PDF]

• Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel. "Normalizing Flows for Interventional Density Estimation" | [Home Page] | [PDF]

• Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das. "Reprogramming Pretrained Language Models for Antibody Sequence Infilling" | [Home Page] | [PDF]

• Omid Memarrast, Linh Vu, Brian D Ziebart. "Superhuman Fairness" | [Home Page] | [PDF]

• Si Yi Meng, Robert M. Gower. "A Model-Based Method for Minimizing CVaR and Beyond" | [Home Page] | [PDF]

• Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han. "Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning" | [Home Page] | [PDF]

• Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet. "On Preemption and Learning in Stochastic Scheduling" | [Home Page] | [PDF]

• Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Remi Munos. "Quantile Credit Assignment" | [Home Page] | [PDF]

• Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander Gasnikov. "Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?" | [Home Page] | [PDF]

• Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli. "Towards Theoretical Understanding of Inverse Reinforcement Learning" | [Home Page] | [PDF]

• Nico Meyer, Daniel Scherer, Axel Plinge, Christopher Mutschler, Michael Hartmann. "Quantum Policy Gradient Algorithm with Optimized Action Decoding" | [Home Page] | [PDF]

• Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribes, Bruno Raffin. "Training Deep Surrogate Models with Large Scale Online Learning" | [Home Page] | [PDF]

• David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang. "MANSA: Learning Fast and Slow in Multi-Agent Systems" | [Home Page] | [PDF]

• Zakaria Mhammedi, Dylan J Foster, Alexander Rakhlin. "Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL" | [Home Page] | [PDF]

• Elissa Mhanna, Mohamad Assaad. "Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function" | [Home Page] | [PDF]

• Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim. "Learning Instance-Specific Augmentations by Capturing Local Invariances" | [Home Page] | [PDF]

• Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis. "Path Neural Networks: Expressive and Accurate Graph Neural Networks" | [Home Page] | [PDF]

• Thomas Miconi. "Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning" | [Home Page] | [PDF]

• Eleni Miliotou, Panagiotis Kyriakis, Jason D Hinman, Andrei Irimia, Paul Bogdan. "Generative Decoding of Visual Stimuli" | [Home Page] | [PDF]

• Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu. "Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation" | [Home Page] | [PDF]

• Ming Min, Ruimeng Hu, Tomoyuki Ichiba. "Directed Chain Generative Adversarial Networks" | [Home Page] | [PDF]

• Seungki Min, Daniel Russo. "An Information-Theoretic Analysis of Nonstationary Bandit Learning" | [Home Page] | [PDF]

• Hancheng Min, Rene Vidal, Enrique Mallada. "On the Convergence of Gradient Flow on Multi-layer Linear Models" | [Home Page] | [PDF]

• Aaron Mishkin, Mert Pilanci. "Optimal Sets and Solution Paths of ReLU Networks" | [Home Page] | [PDF]

• Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang. "The Numerical Stability of Hyperbolic Representation Learning" | [Home Page] | [PDF]

• Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, Chelsea Finn. "DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature" | [Home Page] | [PDF]

• Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou. "Diffusion Based Representation Learning" | [Home Page] | [PDF]

• Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu. "Disentangled Multiplex Graph Representation Learning" | [Home Page] | [PDF]

• Shentong Mo, Pedro Morgado. "A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition" | [Home Page] | [PDF]

• Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan. "Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint" | [Home Page] | [PDF]

• Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi. "Text-To-Concept (and Back) via Cross-Model Alignment" | [Home Page] | [PDF]

• Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland. "A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel" | [Home Page] | [PDF]

• Amirkeivan Mohtashami, Martin Jaggi, Sebastian U Stich. "Special Properties of Gradient Descent with Large Learning Rates" | [Home Page] | [PDF]

• Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra. "Neural Inverse Operators for Solving PDE Inverse Problems" | [Home Page] | [PDF]

• Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer. "Input uncertainty propagation through trained neural networks" | [Home Page] | [PDF]

• Andrea Montanari, Eric Weiner. "Compressing Tabular Data via Latent Variable Estimation" | [Home Page] | [PDF]

• Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurelien Lucchi. "An SDE for Modeling SAM: Theory and Insights" | [Home Page] | [PDF]

• Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa. "Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic" | [Home Page] | [PDF]

• Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe. "WL meet VC" | [Home Page] | [PDF]

• Ted Moskovitz, Brendan O’Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy. "ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs" | [Home Page] | [PDF]

• Antoine Moulin, Gergely Neu. "Optimistic Planning by Regularized Dynamic Programming" | [Home Page] | [PDF]

• Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi. "Neural signature kernels as infinite-width-depth-limits of controlled ResNets" | [Home Page] | [PDF]

• Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek. "Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models" | [Home Page] | [PDF]

• Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter. "PFNs4BO: In-Context Learning for Bayesian Optimization" | [Home Page] | [PDF]

• Johannes Müller, Marius Zeinhofer. "Achieving High Accuracy with PINNs via Energy Natural Gradient Descent" | [Home Page] | [PDF]

• Andreas Munk, Alexander Mead, Frank Wood. "Uncertain Evidence in Probabilistic Models and Stochastic Simulators" | [Home Page] | [PDF]

• Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon. "GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration" | [Home Page] | [PDF]

• Tomoya Murata, Taiji Suzuki. "DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning" | [Home Page] | [PDF]

• Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler. "Efficiently predicting high resolution mass spectra with graph neural networks" | [Home Page] | [PDF]

• Marco Mussi, Alberto Maria Metelli, Marcello Restelli. "Dynamical Linear Bandits" | [Home Page] | [PDF]

• Ofir Nabati, Guy Tennenholtz, Shie Mannor. "Representation-Driven Reinforcement Learning" | [Home Page] | [PDF]

• Adel Nabli, Edouard Oyallon. "DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization" | [Home Page] | [PDF]

• Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain. "Multi-User Reinforcement Learning with Low Rank Rewards" | [Home Page] | [PDF]

• Thomas Nagler. "Statistical Foundations of Prior-Data Fitted Networks" | [Home Page] | [PDF]

• Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong. "Do Machine Learning Models Learn Statistical Rules Inferred from Data?" | [Home Page] | [PDF]

• Ilan Naiman, Nimrod Berman, Omri Azencot. "Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation" | [Home Page] | [PDF]

• Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr. "Effectively Using Public Data in Privacy Preserving Machine Learning" | [Home Page] | [PDF]

• Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah. "Counterfactual Identifiability of Bijective Causal Models" | [Home Page] | [PDF]

• Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou. "Discovering Object-Centric Generalized Value Functions From Pixels" | [Home Page] | [PDF]

• Michal Nauman, Marek Cygan. "On Many-Actions Policy Gradient" | [Home Page] | [PDF]

• Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron. "Equivariant Architectures for Learning in Deep Weight Spaces" | [Home Page] | [PDF]

• Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan. "Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation" | [Home Page] | [PDF]

• Philipp Nazari, Sebastian Damrich, Fred A Hamprecht. "Geometric Autoencoders - What You See is What You Decode" | [Home Page] | [PDF]

• Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani. "Action Matching: Learning Stochastic Dynamics from Samples" | [Home Page] | [PDF]

• Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh M Halappanavar. "Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains" | [Home Page] | [PDF]

• Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover. "ClimaX: A foundation model for weather and climate" | [Home Page] | [PDF]

• Hoai-An Nguyen, Ching-An Cheng. "Provable Reset-free Reinforcement Learning by No-Regret Reduction" | [Home Page] | [PDF]

• Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley Osher, Tan Minh Nguyen. "Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature" | [Home Page] | [PDF]

• Tri Nguyen, Shahana Ibrahim, Xiao Fu. "Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach" | [Home Page] | [PDF]

• Khai Nguyen, Dang Nguyen, Nhat Ho. "Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction" | [Home Page] | [PDF]

• Xuan Son Nguyen, Shuo Yang. "Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach" | [Home Page] | [PDF]

• Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin. "Simple Disentanglement of Style and Content in Visual Representations" | [Home Page] | [PDF]

• Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang. "MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL" | [Home Page] | [PDF]

• Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida Wang, Xi Victoria Lin. "LEVER: Learning to Verify Language-to-Code Generation with Execution" | [Home Page] | [PDF]

• Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian. "Continual Vision-Language Representation Learning with Off-Diagonal Information" | [Home Page] | [PDF]

• Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren. "Attributing Image Generative Models using Latent Fingerprints" | [Home Page] | [PDF]

• Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn. "A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback" | [Home Page] | [PDF]

• Yaniv Nikankin, Niv Haim, Michal Irani. "SinFusion: Training Diffusion Models on a Single Image or Video" | [Home Page] | [PDF]

• Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh. "SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge" | [Home Page] | [PDF]

• Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov. "Anti-Exploration by Random Network Distillation" | [Home Page] | [PDF]

• Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara. "Input Perturbation Reduces Exposure Bias in Diffusion Models" | [Home Page] | [PDF]

• Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki. "Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems" | [Home Page] | [PDF]

• Georgy Noarov, Aaron Roth. "The Statistical Scope of Multicalibration" | [Home Page] | [PDF]

• Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox. "Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling" | [Home Page] | [PDF]

• Azade Nova, Hanjun Dai, Dale Schuurmans. "Gradient-Free Structured Pruning with Unlabeled Data" | [Home Page] | [PDF]

• Zachary Novack, Julian Mcauley, Zachary Chase Lipton, Saurabh Garg. "CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets" | [Home Page] | [PDF]

• Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan Oseledets. "Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction" | [Home Page] | [PDF]

• Brendan O’Donoghue. "Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization" | [Home Page] | [PDF]

• Junsoo Oh, Chulhee Yun. "Provable Benefit of Mixup for Finding Optimal Decision Boundaries" | [Home Page] | [PDF]

• Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola. "Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances" | [Home Page] | [PDF]

• Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli. "Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality" | [Home Page] | [PDF]

• Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez. "On the Within-Group Fairness of Screening Classifiers" | [Home Page] | [PDF]

• Kazusato Oko, Shunta Akiyama, Taiji Suzuki. "Diffusion Models are Minimax Optimal Distribution Estimators" | [Home Page] | [PDF]

• Raphael Olivier, Bhiksha Raj. "How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy" | [Home Page] | [PDF]

• Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit. "B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding" | [Home Page] | [PDF]

• Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta. "Measuring the Impact of Programming Language Distribution" | [Home Page] | [PDF]

• Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D’Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou. "When does Privileged information Explain Away Label Noise?" | [Home Page] | [PDF]

• Antonio Orvieto, Samuel L Smith, Albert Gu, Anushan Fernando, Caglar Gulcehre, Razvan Pascanu, Soham De. "Resurrecting Recurrent Neural Networks for Long Sequences" | [Home Page] | [PDF]

• Yidong Ouyang, Liyan Xie, Guang Cheng. "Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process" | [Home Page] | [PDF]

• Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis. "On the Role of Attention in Prompt-tuning" | [Home Page] | [PDF]

• Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang. "Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation" | [Home Page] | [PDF]

• Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P Parikh. "Extrapolative Controlled Sequence Generation via Iterative Refinement" | [Home Page] | [PDF]

• Avik Pal, Alan Edelman, Christopher Vincent Rackauckas. "Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!" | [Home Page] | [PDF]

• Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh. "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" | [Home Page] | [PDF]

• Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks. "Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark" | [Home Page] | [PDF]

• Erlin Pan, Zhao Kang. "Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering" | [Home Page] | [PDF]

• Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio. "Better Training of GFlowNets with Local Credit and Incomplete Trajectories" | [Home Page] | [PDF]

• Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Cetin. "A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer" | [Home Page] | [PDF]

• Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher. "Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees." | [Home Page] | [PDF]

• Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan. "Flash: Concept Drift Adaptation in Federated Learning" | [Home Page] | [PDF]

• Deep Shankar Pandey, Qi Yu. "Learn to Accumulate Evidence from All Training Samples: Theory and Practice" | [Home Page] | [PDF]

• Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song. "Secure Federated Correlation Test and Entropy Estimation" | [Home Page] | [PDF]

• Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora. "Task-Specific Skill Localization in Fine-tuned Language Models" | [Home Page] | [PDF]

• Junyoung Park, Jeongyoun Ahn, Cheolwoo Park. "Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation" | [Home Page] | [PDF]

• Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon. "Learning Affinity with Hyperbolic Representation for Spatial Propagation" | [Home Page] | [PDF]

• Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry. "TRAK: Attributing Model Behavior at Scale" | [Home Page] | [PDF]

• Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon. "Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization" | [Home Page] | [PDF]

• Sejun Park, Kihun Hong, Ganguk Hwang. "Towards Understanding Ensemble Distillation in Federated Learning" | [Home Page] | [PDF]

• Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim. "Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows" | [Home Page] | [PDF]

• Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee. "Differentially Private Sharpness-Aware Training" | [Home Page] | [PDF]

• Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel. "Controllability-Aware Unsupervised Skill Discovery" | [Home Page] | [PDF]

• Seohong Park, Sergey Levine. "Predictable MDP Abstraction for Unsupervised Model-Based RL" | [Home Page] | [PDF]

• Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee. "Neural Stochastic Differential Games for Time-series Analysis" | [Home Page] | [PDF]

• Jisun Park, Ernest K. Ryu. "Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations" | [Home Page] | [PDF]

• Paavo Parmas, Takuma Seno, Yuma Aoki. "Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators" | [Home Page] | [PDF]

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• Saro Passaro, C. Lawrence Zitnick. "Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs" | [Home Page] | [PDF]

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• Edward Pearce-Crump. "How Jellyfish Characterise Alternating Group Equivariant Neural Networks" | [Home Page] | [PDF]

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• Zhengqi Pei, Shuhui Wang. "Dynamics-inspired Neuromorphic Visual Representation Learning" | [Home Page] | [PDF]

• Gao Peifeng, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang. "Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation" | [Home Page] | [PDF]

• Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa. "Fair Neighbor Embedding" | [Home Page] | [PDF]

• Liangzu Peng, Paris Giampouras, Rene Vidal. "The Ideal Continual Learner: An Agent That Never Forgets" | [Home Page] | [PDF]

• Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma. "MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation" | [Home Page] | [PDF]

• Andi Peng, Aviv Netanyahu, Mark K Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal. "Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation" | [Home Page] | [PDF]

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• Lorenzo Perini, Paul-Christian Bürkner, Arto Klami. "Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection" | [Home Page] | [PDF]

• Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan. "Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation" | [Home Page] | [PDF]

• Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip Torr, Adel Bibi. "Certifying Ensembles: A General Certification Theory with S-Lipschitzness" | [Home Page] | [PDF]

• Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu. "The Power of Learned Locally Linear Models for Nonlinear Policy Optimization" | [Home Page] | [PDF]

• Chi Bach Pham, Wynita Griggs, James Saunderson. "A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP" | [Home Page] | [PDF]

• Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien. "Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability" | [Home Page] | [PDF]

• Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen. "HyperTuning: Toward Adapting Large Language Models without Back-propagation" | [Home Page] | [PDF]

• Hannah Pinson, Joeri Lenaerts, Vincent Ginis. "Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies" | [Home Page] | [PDF]

• Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov. "Conformal Prediction for Federated Uncertainty Quantification Under Label Shift" | [Home Page] | [PDF]

• Lena Podina, Brydon Eastman, Mohammad Kohandel. "Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data" | [Home Page] | [PDF]

• Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan, Aaditya Ramdas. "Sequential Kernelized Independence Testing" | [Home Page] | [PDF]

• Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli. "Truncating Trajectories in Monte Carlo Reinforcement Learning" | [Home Page] | [PDF]

• Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Re. "Hyena Hierarchy: Towards Larger Convolutional Language Models" | [Home Page] | [PDF]

• Samuele Pollaci. "Spurious Valleys and Clustering Behavior of Neural Networks" | [Home Page] | [PDF]

• Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen. "Multisample Flow Matching: Straightening Flows with Minibatch Couplings" | [Home Page] | [PDF]

• Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed. "Minimax estimation of discontinuous optimal transport maps: The semi-discrete case" | [Home Page] | [PDF]

• Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki. "Test-time Adaptation with Slot-Centric Models" | [Home Page] | [PDF]

• Drew Prinster, Suchi Saria, Anqi Liu. "JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift" | [Home Page] | [PDF]

• Omri Puny, Derek Lim, Bobak Kiani, Haggai Maron, Yaron Lipman. "Equivariant Polynomials for Graph Neural Networks" | [Home Page] | [PDF]

• Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi. "Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining" | [Home Page] | [PDF]

• Shi-Ang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner. "An Effective Meaningful Way to Evaluate Survival Models" | [Home Page] | [PDF]

• Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan. "Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D" | [Home Page] | [PDF]

• Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low. "Collaborative Causal Inference with Fair Incentives" | [Home Page] | [PDF]

• Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng. "FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning" | [Home Page] | [PDF]

• Guanghui Qin, Benjamin Van Durme. "Nugget: Neural Agglomerative Embeddings of Text" | [Home Page] | [PDF]

• Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu. "BiBench: Benchmarking and Analyzing Network Binarization" | [Home Page] | [PDF]

• Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang. "Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization" | [Home Page] | [PDF]

• Xin Qiu, Risto Miikkulainen. "Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search" | [Home Page] | [PDF]

• Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson. "Simple and Fast Group Robustness by Automatic Feature Reweighting" | [Home Page] | [PDF]

• Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer. "DRCFS: Doubly Robust Causal Feature Selection" | [Home Page] | [PDF]

• Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine Mcleavey, Ilya Sutskever. "Robust Speech Recognition via Large-Scale Weak Supervision" | [Home Page] | [PDF]

• Matthew Raffel, Drew Penney, Lizhong Chen. "Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation" | [Home Page] | [PDF]

• Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz. "Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series" | [Home Page] | [PDF]

• Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt Dubhashi, Hamid Krim. "Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework" | [Home Page] | [PDF]

• Anant Raj, Lingjiong Zhu, Mert Gurbuzbalaban, Umut Simsekli. "Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions" | [Home Page] | [PDF]

• Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste. "Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels" | [Home Page] | [PDF]

• Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman. "SpotEM: Efficient Video Search for Episodic Memory" | [Home Page] | [PDF]

• Sameera Ramasinghe, Lachlan Ewen Macdonald, Moshiur Farazi, Hemanth Saratchandran, Simon Lucey. "How much does Initialization Affect Generalization?" | [Home Page] | [PDF]

• Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz. "Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization" | [Home Page] | [PDF]

• Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark Transtrum, James Sethna, Pratik Chaudhari. "A Picture of the Space of Typical Learnable Tasks" | [Home Page] | [PDF]

• Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu. "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" | [Home Page] | [PDF]

• Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen. "SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference" | [Home Page] | [PDF]

• Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A Poggio. "Feature learning in deep classifiers through Intermediate Neural Collapse" | [Home Page] | [PDF]

• Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan Murphy, Finale Doshi-Velez. "The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning" | [Home Page] | [PDF]

• Jishnu Ray Chowdhury, Cornelia Caragea. "Beam Tree Recursive Cells" | [Home Page] | [PDF]

• Jishnu Ray Chowdhury, Cornelia Caragea. "Monotonic Location Attention for Length Generalization" | [Home Page] | [PDF]

• Ofir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer. "Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences" | [Home Page] | [PDF]

• Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt. "Neural networks trained with SGD learn distributions of increasing complexity" | [Home Page] | [PDF]

• Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller. "Simplex Random Features" | [Home Page] | [PDF]

• Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang. "Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts" | [Home Page] | [PDF]

• Zhaolin Ren, Yujie Tang, Na Li. "Escaping saddle points in zeroth-order optimization: the power of two-point estimators" | [Home Page] | [PDF]

• Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan. "Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing" | [Home Page] | [PDF]

• Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu. "Feature Programming for Multivariate Time Series Prediction" | [Home Page] | [PDF]

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• Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, Marco Pavone. "Learning Control-Oriented Dynamical Structure from Data" | [Home Page] | [PDF]

• Pierre Harvey Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill. "The Edge of Orthogonality: A Simple View of What Makes BYOL Tick" | [Home Page] | [PDF]

• Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare. "Multi-Agent Best Arm Identification with Private Communications" | [Home Page] | [PDF]

• Nicholas Rittler, Kamalika Chaudhuri. "A Two-Stage Active Learning Algorithm for k-Nearest Neighbors" | [Home Page] | [PDF]

• Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella. "Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit" | [Home Page] | [PDF]

• Borja Rodrı́guez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella. "The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning" | [Home Page] | [PDF]

• Rafael Rodriguez-Sanchez, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris. "RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents" | [Home Page] | [PDF]

• Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh. "Improving Fair Training under Correlation Shifts" | [Home Page] | [PDF]

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• Haolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho. "Robust Satisficing MDPs" | [Home Page] | [PDF]

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• Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson. "Function-Space Regularization in Neural Networks: A Probabilistic Perspective" | [Home Page] | [PDF]

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• Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov. "SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient" | [Home Page] | [PDF]

• Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer. "Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles" | [Home Page] | [PDF]

• Yves Rychener, Daniel Kuhn, Tobias Sutter. "End-to-End Learning for Stochastic Optimization: A Bayesian Perspective" | [Home Page] | [PDF]

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• El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier. "Active Ranking of Experts Based on their Performances in Many Tasks" | [Home Page] | [PDF]

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• Vin Sachidananda, Ziyi Yang, Chenguang Zhu. "Global Selection of Contrastive Batches via Optimization on Sample Permutations" | [Home Page] | [PDF]

• Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik. "High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance" | [Home Page] | [PDF]

• Bishwajit Saha, Dmitry Krotov, Mohammed J Zaki, Parikshit Ram. "End-to-end Differentiable Clustering with Associative Memories" | [Home Page] | [PDF]

• Eden Saig, Nir Rosenfeld. "Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement" | [Home Page] | [PDF]

• Shota Saito, Mark Herbster. "Multi-class Graph Clustering via Approximated Effective $p$-Resistance" | [Home Page] | [PDF]

• Yuta Saito, Qingyang Ren, Thorsten Joachims. "Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling" | [Home Page] | [PDF]

• Shinsaku Sakaue, Taihei Oki. "Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization" | [Home Page] | [PDF]

• Otmane Sakhi, Pierre Alquier, Nicolas Chopin. "PAC-Bayesian Offline Contextual Bandits With Guarantees" | [Home Page] | [PDF]

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• Tom Sander, Pierre Stock, Alexandre Sablayrolles. "TAN Without a Burn: Scaling Laws of DP-SGD" | [Home Page] | [PDF]

• Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga S, Ganesh Ramakrishnan, Rishabh K Iyer, Abir De. "Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models" | [Home Page] | [PDF]

• Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto. "Whose Opinions Do Language Models Reflect?" | [Home Page] | [PDF]

• Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash. "Streaming Active Learning with Deep Neural Networks" | [Home Page] | [PDF]

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• Remo Sasso, Michelangelo Conserva, Paulo Rauber. "Posterior Sampling for Deep Reinforcement Learning" | [Home Page] | [PDF]

• Ryoma Sato. "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" | [Home Page] | [PDF]

• Naoki Sato, Hideaki Iiduka. "Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule" | [Home Page] | [PDF]

• Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila. "StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis" | [Home Page] | [PDF]

• Andrey Savchenko. "Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction" | [Home Page] | [PDF]

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• Philip Schär, Michael Habeck, Daniel Rudolf. "Gibbsian Polar Slice Sampling" | [Home Page] | [PDF]

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• Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz. "The Acquisition of Physical Knowledge in Generative Neural Networks" | [Home Page] | [PDF]

• Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin. "Modality-Agnostic Variational Compression of Implicit Neural Representations" | [Home Page] | [PDF]

• Max Schwarzer, Johan Samir Obando Ceron, Aaron Courville, Marc G Bellemare, Rishabh Agarwal, Pablo Samuel Castro. "Bigger, Better, Faster: Human-level Atari with human-level efficiency" | [Home Page] | [PDF]

• Antonio Sclocchi, Mario Geiger, Matthieu Wyart. "Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning" | [Home Page] | [PDF]

• Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot. "A Fast Optimistic Method for Monotone Variational Inequalities" | [Home Page] | [PDF]

• José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu. "Double-Weighting for Covariate Shift Adaptation" | [Home Page] | [PDF]

• Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer. "Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language" | [Home Page] | [PDF]

• Jacob H Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris. "Variational Autoencoding Neural Operators" | [Home Page] | [PDF]

• Patrick Seifner, Ramses J Sanchez. "Neural Markov Jump Processes" | [Home Page] | [PDF]

• Jeremy Sellier, Petros Dellaportas. "Bayesian online change point detection with Hilbert space approximate Student-t process" | [Home Page] | [PDF]

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• Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei. "Explainability as statistical inference" | [Home Page] | [PDF]

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• Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani. "One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding" | [Home Page] | [PDF]

• Harshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry. "ModelDiff: A Framework for Comparing Learning Algorithms" | [Home Page] | [PDF]

• Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya. "Auxiliary Learning as an Asymmetric Bargaining Game" | [Home Page] | [PDF]

• Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen. "Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models" | [Home Page] | [PDF]

• Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji. "Complementary Attention for Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Ron Shapira Weber, Oren Freifeld. "Regularization-free Diffeomorphic Temporal Alignment Nets" | [Home Page] | [PDF]

• Arsalan Sharifnassab, Richard S. Sutton. "Toward Efficient Gradient-Based Value Estimation" | [Home Page] | [PDF]

• Louis Sharrock, Christopher Nemeth. "Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates" | [Home Page] | [PDF]

• Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman. "On Kinetic Optimal Probability Paths for Generative Models" | [Home Page] | [PDF]

• Shubhanshu Shekhar, Aaditya Ramdas. "Sequential Changepoint Detection via Backward Confidence Sequences" | [Home Page] | [PDF]

• Alexander Shekhovtsov. "Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator" | [Home Page] | [PDF]

• Max W Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani. "Towards Understanding and Improving GFlowNet Training" | [Home Page] | [PDF]

• Maohao Shen, Yuheng Bu, Gregory W. Wornell. "On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation" | [Home Page] | [PDF]

• Han Shen, Tianyi Chen. "On Penalty-based Bilevel Gradient Descent Method" | [Home Page] | [PDF]

• Lifeng Shen, James Kwok. "Non-autoregressive Conditional Diffusion Models for Time Series Prediction" | [Home Page] | [PDF]

• Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar. "Cross-Modal Fine-Tuning: Align then Refine" | [Home Page] | [PDF]

• Yu Shen, Xijun Wang, Peng Gao, Ming Lin. "Auxiliary Modality Learning with Generalized Curriculum Distillation" | [Home Page] | [PDF]

• Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal. "TGRL: An Algorithm for Teacher Guided Reinforcement Learning" | [Home Page] | [PDF]

• Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang. "FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU" | [Home Page] | [PDF]

• Uri Sherman, Tomer Koren, Yishay Mansour. "Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation" | [Home Page] | [PDF]

• Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli. "Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods" | [Home Page] | [PDF]

• Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou. "Large Language Models Can Be Easily Distracted by Irrelevant Context" | [Home Page] | [PDF]

• Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao. "Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval" | [Home Page] | [PDF]

• Ming Shi, Yingbin Liang, Ness Shroff. "A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints" | [Home Page] | [PDF]

• Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao. "Improving the Model Consistency of Decentralized Federated Learning" | [Home Page] | [PDF]

• Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang. "UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers" | [Home Page] | [PDF]

• Jiaxin Shi, Ke Alexander Wang, Emily Fox. "Sequence Modeling with Multiresolution Convolutional Memory" | [Home Page] | [PDF]

• Lei Shi, Jingshen Wang, Tianhao Wu. "Statistical Inference on Multi-armed Bandits with Delayed Feedback" | [Home Page] | [PDF]

• Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang. "Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources" | [Home Page] | [PDF]

• Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu. "On the Complexity of Bayesian Generalization" | [Home Page] | [PDF]

• Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan. "Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective" | [Home Page] | [PDF]

• Andy Shih, Dorsa Sadigh, Stefano Ermon. "Long Horizon Temperature Scaling" | [Home Page] | [PDF]

• Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh. "Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space" | [Home Page] | [PDF]

• Dongseok Shim, Seungjae Lee, H. Jin Kim. "SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning" | [Home Page] | [PDF]

• Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee. "A Closer Look at the Intervention Procedure of Concept Bottleneck Models" | [Home Page] | [PDF]

• Wooseok Shin, Byung Hoon Lee, Jin Sob Kim, Hyun Joon Park, Sung Won Han. "MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement" | [Home Page] | [PDF]

• Yongho Shin, Changyeol Lee, Gukryeol Lee, Hyung-Chan An. "Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis" | [Home Page] | [PDF]

• Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo. "One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill" | [Home Page] | [PDF]

• Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee. "Context Consistency Regularization for Label Sparsity in Time Series" | [Home Page] | [PDF]

• Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley. "Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting" | [Home Page] | [PDF]

• Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop. "Exphormer: Sparse Transformers for Graphs" | [Home Page] | [PDF]

• Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Matan Fintz, Gerard Medioni. "Synthetic data for model selection" | [Home Page] | [PDF]

• Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin Bennett. "Probabilistic Attention-to-Influence Neural Models for Event Sequences" | [Home Page] | [PDF]

• Madhumitha Shridharan, Garud Iyengar. "Causal Bounds in Quasi-Markovian Graphs" | [Home Page] | [PDF]

• Disha Shrivastava, Hugo Larochelle, Daniel Tarlow. "Repository-Level Prompt Generation for Large Language Models of Code" | [Home Page] | [PDF]

• Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long. "CLIPood: Generalizing CLIP to Out-of-Distributions" | [Home Page] | [PDF]

• Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov. "Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows" | [Home Page] | [PDF]

• Ali Siahkoohi, Rudy Morel, Maarten V. De Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura. "Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data" | [Home Page] | [PDF]

• Julian Sieber, Johann Gehringer. "Quantitative Universal Approximation Bounds for Deep Belief Networks" | [Home Page] | [PDF]

• David Simchi-Levi, Chonghuan Wang. "Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk" | [Home Page] | [PDF]

• Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy. "Statistical Learning under Heterogeneous Distribution Shift" | [Home Page] | [PDF]

• James B Simon, Maksis Knutins, Liu Ziyin, Daniel Geisz, Abraham J Fetterman, Joshua Albrecht. "On the Stepwise Nature of Self-Supervised Learning" | [Home Page] | [PDF]

• Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan. "Hindsight Learning for MDPs with Exogenous Inputs" | [Home Page] | [PDF]

• Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman. "Text-To-4D Dynamic Scene Generation" | [Home Page] | [PDF]

• Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf. "The Hessian perspective into the Nature of Convolutional Neural Networks" | [Home Page] | [PDF]

• Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell. "When do Minimax-fair Learning and Empirical Risk Minimization Coincide?" | [Home Page] | [PDF]

• Martin Sipka, Johannes C. B. Dietschreit, Lukáš Grajciar, Rafael Gomez-Bombarelli. "Differentiable Simulations for Enhanced Sampling of Rare Events" | [Home Page] | [PDF]

• Chawin Sitawarin, Florian Tramèr, Nicholas Carlini. "Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems" | [Home Page] | [PDF]

• Joar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave. "Invariance in Policy Optimisation and Partial Identifiability in Reward Learning" | [Home Page] | [PDF]

• Oliver Slumbers, David Henry Mguni, Stefano B Blumberg, Stephen Marcus Mcaleer, Yaodong Yang, Jun Wang. "A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems" | [Home Page] | [PDF]

• Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q Weinberger, Ryan Mcdonald. "On the Effectiveness of Offline RL for Dialogue Response Generation" | [Home Page] | [PDF]

• Alexander Soen, Hisham Husain, Richard Nock. "Fair Densities via Boosting the Sufficient Statistics of Exponential Families" | [Home Page] | [PDF]

• Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci. "The Dormant Neuron Phenomenon in Deep Reinforcement Learning" | [Home Page] | [PDF]

• Samuel Sokota, Ryan D’Orazio, Chun Kai Ling, David J Wu, J Zico Kolter, Noam Brown. "Abstracting Imperfect Information Away from Two-Player Zero-Sum Games" | [Home Page] | [PDF]

• Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park. "Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization" | [Home Page] | [PDF]

• Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever. "Consistency Models" | [Home Page] | [PDF]

• Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang. "LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control" | [Home Page] | [PDF]

• Zifan Song, Xiao Gong, Guosheng Hu, Cairong Zhao. "Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations" | [Home Page] | [PDF]

• Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling. "Latent Traversals in Generative Models as Potential Flows" | [Home Page] | [PDF]

• Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong. "FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks" | [Home Page] | [PDF]

• Jaeyun Song, Sungyub Kim, Eunho Yang. "RGE: A Repulsive Graph Rectification for Node Classification via Influence" | [Home Page] | [PDF]

• Zhenqiao Song, Lei Li. "Importance Weighted Expectation-Maximization for Protein Sequence Design" | [Home Page] | [PDF]

• Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang. "Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability" | [Home Page] | [PDF]

• Zhao Song, Xin Yang, Yuanyuan Yang, Lichen Zhang. "Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance" | [Home Page] | [PDF]

• Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang. "A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee" | [Home Page] | [PDF]

• Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat. "Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation" | [Home Page] | [PDF]

• Paul Soulos, Edward J Hu, Kate Mccurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao. "Differentiable Tree Operations Promote Compositional Generalization" | [Home Page] | [PDF]

• Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei. "Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism." | [Home Page] | [PDF]

• Chandler Squires, Anna Seigal, Salil S Bhate, Caroline Uhler. "Linear Causal Disentanglement via Interventions" | [Home Page] | [PDF]

• Megha Srivastava, Noah Goodman, Dorsa Sadigh. "Generating Language Corrections for Teaching Physical Control Tasks" | [Home Page] | [PDF]

• Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau. "FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels" | [Home Page] | [PDF]

• David Stein, Silvia Di Gregorio, Bjoern Andres. "Partial Optimality in Cubic Correlation Clustering" | [Home Page] | [PDF]

• Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty. "MODeL: Memory Optimizations for Deep Learning" | [Home Page] | [PDF]

• Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez. "Improving Expert Predictions with Conformal Prediction" | [Home Page] | [PDF]

• Grant Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris. "Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers" | [Home Page] | [PDF]

• Diego Stucchi, Paolo Rizzo, Nicolò Folloni, Giacomo Boracchi. "Kernel QuantTree" | [Home Page] | [PDF]

• Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern Menze, Ulrich Bauer. "Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes" | [Home Page] | [PDF]

• Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu. "Towards Robust Graph Incremental Learning on Evolving Graphs" | [Home Page] | [PDF]

• Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella. "DUET: 2D Structured and Approximately Equivariant Representations" | [Home Page] | [PDF]

• Min-Kook Suh, Seung-Woo Seo. "Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels" | [Home Page] | [PDF]

• Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou. "Adversarial Learning of Distributional Reinforcement Learning" | [Home Page] | [PDF]

• Theodore Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta. "Distilling Internet-Scale Vision-Language Models into Embodied Agents" | [Home Page] | [PDF]

• Zhuo Sun, Alessandro Barp, Francois-Xavier Briol. "Vector-Valued Control Variates" | [Home Page] | [PDF]

• Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek. "MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks" | [Home Page] | [PDF]

• Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai. "Revisiting Sampling for Combinatorial Optimization" | [Home Page] | [PDF]

• Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu. "What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings" | [Home Page] | [PDF]

• Chunlin Sun, Shang Liu, Xiaocheng Li. "Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming" | [Home Page] | [PDF]

• Hu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen. "Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis" | [Home Page] | [PDF]

• Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy. "MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior" | [Home Page] | [PDF]

• Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao. "Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape" | [Home Page] | [PDF]

• Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li. "When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis" | [Home Page] | [PDF]

• Wei Sun, Asterios Tsiourvas. "Learning Prescriptive ReLU Networks" | [Home Page] | [PDF]

• Junshu Sun, Shuhui Wang, Xinzhe Han, Zhe Xue, Qingming Huang. "All in a Row: Compressed Convolution Networks for Graphs" | [Home Page] | [PDF]

• Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang. "Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions" | [Home Page] | [PDF]

• Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao. "A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification" | [Home Page] | [PDF]

• Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian. "SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation" | [Home Page] | [PDF]

• Zhiqing Sun, Yiming Yang, Shinjae Yoo. "A Neural PDE Solver with Temporal Stencil Modeling" | [Home Page] | [PDF]

• Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang. "Feature Expansion for Graph Neural Networks" | [Home Page] | [PDF]

• Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu. "Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning" | [Home Page] | [PDF]

• Mukund Sundararajan, Walid Krichene. "Inflow, Outflow, and Reciprocity in Machine Learning" | [Home Page] | [PDF]

• Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun. "When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction" | [Home Page] | [PDF]

• André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai. "Tuning Computer Vision Models With Task Rewards" | [Home Page] | [PDF]

• Wesley A Suttle, Amrit Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha. "Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic" | [Home Page] | [PDF]

• Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi. "Tight and fast generalization error bound of graph embedding in metric space" | [Home Page] | [PDF]

• Erik Sverdrup, Yifan Cui. "Proximal Causal Learning of Conditional Average Treatment Effects" | [Home Page] | [PDF]

• Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Steven Wu. "Inverse Reinforcement Learning without Reinforcement Learning" | [Home Page] | [PDF]

• Kirk Swanson, Jake Lawrence Williams, Eric M Jonas. "Von Mises Mixture Distributions for Molecular Conformation Generation" | [Home Page] | [PDF]

• Yasa Syed, Guanyang Wang. "Optimal randomized multilevel Monte Carlo for repeatedly nested expectations" | [Home Page] | [PDF]

• Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai. "Adaptive Coordination in Social Embodied Rearrangement" | [Home Page] | [PDF]

• Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott Maclachlan, Luke Olson, Matthew West. "MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods" | [Home Page] | [PDF]

• Wai Ming Tai, Bryon Aragam. "Learning Mixtures of Gaussians with Censored Data" | [Home Page] | [PDF]

• Shokichi Takakura, Taiji Suzuki. "Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input" | [Home Page] | [PDF]

• Makoto Takamoto, Francesco Alesiani, Mathias Niepert. "Learning Neural PDE Solvers with Parameter-Guided Channel Attention" | [Home Page] | [PDF]

• Kei Takemura. "Contextual Conservative Interleaving Bandits" | [Home Page] | [PDF]

• Shion Takeno, Yu Inatsu, Masayuki Karasuyama. "Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds" | [Home Page] | [PDF]

• Shion Takeno, Masahiro Nomura, Masayuki Karasuyama. "Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes" | [Home Page] | [PDF]

• Zeren Tan, Yang Tian. "Robust Explanation for Free or At the Cost of Faithfulness" | [Home Page] | [PDF]

• Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi. "Provably Invariant Learning without Domain Information" | [Home Page] | [PDF]

• Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine. "Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning" | [Home Page] | [PDF]

• Xiaohang Tang, Le Cong Dinh, Stephen Marcus Mcaleer, Yaodong Yang. "Regret-Minimizing Double Oracle for Extensive-Form Games" | [Home Page] | [PDF]

• Hao Tang, Kevin Ellis. "From Perception to Programs: Regularize, Overparameterize, and Amortize" | [Home Page] | [PDF]

• Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Avila Pires, Yash Chandak, Remi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko. "Understanding Self-Predictive Learning for Reinforcement Learning" | [Home Page] | [PDF]

• Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Remi Munos, Bernardo Avila Pires, Michal Valko. "DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm" | [Home Page] | [PDF]

• Huayi Tang, Yong Liu. "Towards Understanding Generalization of Graph Neural Networks" | [Home Page] | [PDF]

• Yunhao Tang, Remi Munos. "Towards a better understanding of representation dynamics under TD-learning" | [Home Page] | [PDF]

• Yunhao Tang, Remi Munos, Mark Rowland, Michal Valko. "VA-learning as a more efficient alternative to Q-learning" | [Home Page] | [PDF]

• Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang. "Defects of Convolutional Decoder Networks in Frequency Representation" | [Home Page] | [PDF]

• Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou. "Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding" | [Home Page] | [PDF]

• Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo. "End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization" | [Home Page] | [PDF]

• Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou. "POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models" | [Home Page] | [PDF]

• Linwei Tao, Minjing Dong, Chang Xu. "Dual Focal Loss for Calibration" | [Home Page] | [PDF]

• Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su. "Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization" | [Home Page] | [PDF]

• Rohan Taori, Tatsunori Hashimoto. "Data Feedback Loops: Model-driven Amplification of Dataset Biases" | [Home Page] | [PDF]

• Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan Kankanhalli. "Deep Regression Unlearning" | [Home Page] | [PDF]

• Jacopo Teneggi, Matthew Tivnan, Web Stayman, Jeremias Sulam. "How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control" | [Home Page] | [PDF]

• Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer. "Concurrent Shuffle Differential Privacy Under Continual Observation" | [Home Page] | [PDF]

• Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan. "Finding Generalization Measures by Contrasting Signal and Noise" | [Home Page] | [PDF]

• Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier. "Reinforcement Learning with History Dependent Dynamic Contexts" | [Home Page] | [PDF]

• Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz, Robin J. Evans, Christopher C. Holmes. "PWSHAP: A Path-Wise Explanation Model for Targeted Variables" | [Home Page] | [PDF]

• Ashutosh Tewari. "On the Estimation of Gaussian Mixture Copula Models" | [Home Page] | [PDF]

• Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan. "Target-Aware Generative Augmentations for Single-Shot Adaptation" | [Home Page] | [PDF]

• Qinglong Tian, Xin Zhang, Jiwei Zhao. "ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models" | [Home Page] | [PDF]

• Louis C. Tiao, Vincent Dutordoir, Victor Picheny. "Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes" | [Home Page] | [PDF]

• Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Menard. "Fast Rates for Maximum Entropy Exploration" | [Home Page] | [PDF]

• Alexandru Tifrea, Jacob Clarysse, Fanny Yang. "Margin-based sampling in high dimensions: When being active is less efficient than staying passive" | [Home Page] | [PDF]

• Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer. "Differentiable Multi-Target Causal Bayesian Experimental Design" | [Home Page] | [PDF]

• Malik Tiomoko, Romain Couillet, Frederic Pascal. "PCA-based Multi-Task Learning: a Random Matrix Approach" | [Home Page] | [PDF]

• Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed. "Perturbation Analysis of Neural Collapse" | [Home Page] | [PDF]

• Rishabh Tiwari, Pradeep Shenoy. "Overcoming Simplicity Bias in Deep Networks using a Feature Sieve" | [Home Page] | [PDF]

• Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers. "Beyond In-Domain Scenarios: Robust Density-Aware Calibration" | [Home Page] | [PDF]

• Peifeng Tong, Wu Su, He Li, Jialin Ding, Zhan Haoxiang, Song Xi Chen. "Distribution Free Domain Generalization" | [Home Page] | [PDF]

• Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens. "Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms" | [Home Page] | [PDF]

• Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai. "Robust Weak Supervision with Variational Auto-Encoders" | [Home Page] | [PDF]

• Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone. "Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes" | [Home Page] | [PDF]

• Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf. "Discrete Key-Value Bottleneck" | [Home Page] | [PDF]

• Asher Trockman, J Zico Kolter. "Mimetic Initialization of Self-Attention Layers" | [Home Page] | [PDF]

• Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar. "Representer Point Selection for Explaining Regularized High-dimensional Models" | [Home Page] | [PDF]

• Hanna Tseran, Guido Montufar. "Expected Gradients of Maxout Networks and Consequences to Parameter Initialization" | [Home Page] | [PDF]

• Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman. "Provable Data Subset Selection For Efficient Neural Networks Training" | [Home Page] | [PDF]

• Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman. "Jump-Start Reinforcement Learning" | [Home Page] | [PDF]

• Rajan Udwani. "Submodular Order Functions and Assortment Optimization" | [Home Page] | [PDF]

• Masatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun. "Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings" | [Home Page] | [PDF]

• Enayat Ullah, Raman Arora. "From Adaptive Query Release to Machine Unlearning" | [Home Page] | [PDF]

• Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh. "Private Federated Learning with Autotuned Compression" | [Home Page] | [PDF]

• Théo Uscidda, Marco Cuturi. "The Monge Gap: A Regularizer to Learn All Transport Maps" | [Home Page] | [PDF]

• Adrien Vacher, François-Xavier Vialard. "Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm." | [Home Page] | [PDF]

• Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Omer Deniz Akyildiz. "Random Grid Neural Processes for Parametric Partial Differential Equations" | [Home Page] | [PDF]

• Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke. "Delayed Feedback in Kernel Bandits" | [Home Page] | [PDF]

• Boris Van Breugel, Zhaozhi Qian, Mihaela Van Der Schaar. "Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data" | [Home Page] | [PDF]

• Dirk Van Der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi. "Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts" | [Home Page] | [PDF]

• Lars Van Der Laan, Ernesto Ulloa-Perez, Marco Carone, Alex Luedtke. "Causal Isotonic Calibration for Heterogeneous Treatment Effects" | [Home Page] | [PDF]

• Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela Van Der Schaar. "Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time" | [Home Page] | [PDF]

• Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong. "Best Arm Identification in Multi-Agent Multi-Armed Bandits" | [Home Page] | [PDF]

• Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi. "Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models" | [Home Page] | [PDF]

• Nate Veldt. "Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs" | [Home Page] | [PDF]

• Ameya Velingker, Maximilian Vötsch, David Woodruff, Samson Zhou. "Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization" | [Home Page] | [PDF]

• Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury. "The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms" | [Home Page] | [PDF]

• Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco. "Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs" | [Home Page] | [PDF]

• David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum. "Multi-Environment Pretraining Enables Transfer to Action Limited Datasets" | [Home Page] | [PDF]

• Yogesh Verma, Markus Heinonen, Vikas Garg. "AbODE: Ab initio antibody design using conjoined ODEs" | [Home Page] | [PDF]

• Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev. "TabLeak: Tabular Data Leakage in Federated Learning" | [Home Page] | [PDF]

• Paul Vicol. "Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single" | [Home Page] | [PDF]

• Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai. "Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models" | [Home Page] | [PDF]

• Cameron Voloshin, Abhinav Verma, Yisong Yue. "Eventual Discounting Temporal Logic Counterfactual Experience Replay" | [Home Page] | [PDF]

• Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, Joao Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov. "Transformers Learn In-Context by Gradient Descent" | [Home Page] | [PDF]

• Julius Von Rohrscheidt, Bastian Rieck. "Topological Singularity Detection at Multiple Scales" | [Home Page] | [PDF]

• Vaclav Voracek, Matthias Hein. "Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints" | [Home Page] | [PDF]

• Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung. "Vector Quantized Wasserstein Auto-Encoder" | [Home Page] | [PDF]

• Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli. "Competitive Gradient Optimization" | [Home Page] | [PDF]

• Nikhil Vyas, Sham M. Kakade, Boaz Barak. "On Provable Copyright Protection for Generative Models" | [Home Page] | [PDF]

• Andrew Wagenmaker, Aldo Pacchiano. "Leveraging Offline Data in Online Reinforcement Learning" | [Home Page] | [PDF]

• Tal Wagner, Yonatan Naamad, Nina Mishra. "Fast Private Kernel Density Estimation via Locality Sensitive Quantization" | [Home Page] | [PDF]

• Jacob C Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B Hamrick. "Investigating the Role of Model-Based Learning in Exploration and Transfer" | [Home Page] | [PDF]

• Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan. "UPSCALE: Unconstrained Channel Pruning" | [Home Page] | [PDF]

• Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein. "Poisoning Language Models During Instruction Tuning" | [Home Page] | [PDF]

• Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan. "SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models" | [Home Page] | [PDF]

• Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song. "Multiplier Bootstrap-based Exploration" | [Home Page] | [PDF]

• Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang. "Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits" | [Home Page] | [PDF]

• Chen Wang. "Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits" | [Home Page] | [PDF]

• Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du. "Improved Active Multi-Task Representation Learning via Lasso" | [Home Page] | [PDF]

• Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao. "Tilted Sparse Additive Models" | [Home Page] | [PDF]

• Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf. "From Hypergraph Energy Functions to Hypergraph Neural Networks" | [Home Page] | [PDF]

• Shaoru Wang, Jin Gao, Zeming Li, Xiaoqin Zhang, Weiming Hu. "A Closer Look at Self-Supervised Lightweight Vision Transformers" | [Home Page] | [PDF]

• Haibin Wang, Ce Ge, Hesen Chen, Xiuyu Sun. "PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search" | [Home Page] | [PDF]

• Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell. "Adversarial Policies Beat Superhuman Go AIs" | [Home Page] | [PDF]

• Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth. "On Regularization and Inference with Label Constraints" | [Home Page] | [PDF]

• Qiuhao Wang, Chin Pang Ho, Marek Petrik. "Policy Gradient in Robust MDPs with Global Convergence Guarantee" | [Home Page] | [PDF]

• Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang. "Adaptive Smoothing Gradient Learning for Spiking Neural Networks" | [Home Page] | [PDF]

• Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li. "CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling" | [Home Page] | [PDF]

• Xiaoyu Wang, Mikael Johansson, Tong Zhang. "Generalized Polyak Step Size for First Order Optimization with Momentum" | [Home Page] | [PDF]

• Kaiwen Wang, Nathan Kallus, Wen Sun. "Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR" | [Home Page] | [PDF]

• Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li. "FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization" | [Home Page] | [PDF]

• Jialu Wang, Ping Li, Feifang Hu. "A/B Testing in Network Data with Covariate-Adaptive Randomization" | [Home Page] | [PDF]

• Andrew Wang, Andrew C Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. Mcilraith. "Learning Belief Representations for Partially Observable Deep RL" | [Home Page] | [PDF]

• Hang Wang, Sen Lin, Junshan Zhang. "Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap" | [Home Page] | [PDF]

• Yanbo Wang, Letao Liu, Justin Dauwels. "Slot-VAE: Object-Centric Scene Generation with Slot Attention" | [Home Page] | [PDF]

• Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu. "DIVISION: Memory Efficient Training via Dual Activation Precision" | [Home Page] | [PDF]

• Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Re, Ce Zhang. "CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks" | [Home Page] | [PDF]

• Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei. "Magneto: A Foundation Transformer" | [Home Page] | [PDF]

• Ruigang Wang, Ian Manchester. "Direct Parameterization of Lipschitz-Bounded Deep Networks" | [Home Page] | [PDF]

• Ziqiao Wang, Yongyi Mao. "Tighter Information-Theoretic Generalization Bounds from Supersamples" | [Home Page] | [PDF]

• Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz. "NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation" | [Home Page] | [PDF]

• Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen. "GC-Flow: A Graph-Based Flow Network for Effective Clustering" | [Home Page] | [PDF]

• Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu. "Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation" | [Home Page] | [PDF]

• Peihao Wang, Rameswar Panda, Zhangyang Wang. "Data Efficient Neural Scaling Law via Model Reusing" | [Home Page] | [PDF]

• Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu. "Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery" | [Home Page] | [PDF]

• Aoran Wang, Jun Pang. "Active Learning based Structural Inference" | [Home Page] | [PDF]

• Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan. "Better Diffusion Models Further Improve Adversarial Training" | [Home Page] | [PDF]

• Qingyang Wang, Michael Alan Powell, Eric W Bridgeford, Ali Geisa, Joshua T Vogelstein. "Polarity Is All You Need to Learn and Transfer Faster" | [Home Page] | [PDF]

• Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So. "Projected Tensor Power Method for Hypergraph Community Recovery" | [Home Page] | [PDF]

• Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou. "Estimating Possible Causal Effects with Latent Variables via Adjustment" | [Home Page] | [PDF]

• Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov. "InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models" | [Home Page] | [PDF]

• Jitao Wang, Chengchun Shi, Zhenke Wu. "A Robust Test for the Stationarity Assumption in Sequential Decision Making" | [Home Page] | [PDF]

• Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai. "GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models" | [Home Page] | [PDF]

• Aoran Wang, Tsz Pan Tong, Jun Pang. "Effective and Efficient Structural Inference with Reservoir Computing" | [Home Page] | [PDF]

• Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang. "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" | [Home Page] | [PDF]

• Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou. "Model-Free Robust Average-Reward Reinforcement Learning" | [Home Page] | [PDF]

• Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang. "Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy" | [Home Page] | [PDF]

• Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong. "Learning to Bid in Repeated First-Price Auctions with Budgets" | [Home Page] | [PDF]

• Xiaolu Wang, Chung-Yiu Yau, Hoi To Wai. "Network Effects in Performative Prediction Games" | [Home Page] | [PDF]

• Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas. "Robustly Learning a Single Neuron via Sharpness" | [Home Page] | [PDF]

• Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy. "DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning" | [Home Page] | [PDF]

• Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu. "Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments" | [Home Page] | [PDF]

• Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan. "LinSATNet: The Positive Linear Satisfiability Neural Networks" | [Home Page] | [PDF]

• Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang. "Offline Meta Reinforcement Learning with In-Distribution Online Adaptation" | [Home Page] | [PDF]

• Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang. "Reachability-Aware Laplacian Representation in Reinforcement Learning" | [Home Page] | [PDF]

• Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor. "PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient" | [Home Page] | [PDF]

• Richard A Watson, Hengrui Cai, Xinming An, Samuel Mclean, Rui Song. "On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs" | [Home Page] | [PDF]

• Ian Waudby-Smith, Steven Wu, Aaditya Ramdas. "Nonparametric Extensions of Randomized Response for Private Confidence Sets" | [Home Page] | [PDF]

• Melanie Weber, Suvrit Sra. "Global optimality for Euclidean CCCP under Riemannian convexity" | [Home Page] | [PDF]

• Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen. "A Universal Unbiased Method for Classification from Aggregate Observations" | [Home Page] | [PDF]

• Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He. "NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning" | [Home Page] | [PDF]

• Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang. "Boosting Graph Contrastive Learning via Graph Contrastive Saliency" | [Home Page] | [PDF]

• Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang. "Set-membership Belief State-based Reinforcement Learning for POMDPs" | [Home Page] | [PDF]

• Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li. "Mitigating Memorization of Noisy Labels by Clipping the Model Prediction" | [Home Page] | [PDF]

• Christian Dietrich Weilbach, William Harvey, Frank Wood. "Graphically Structured Diffusion Models" | [Home Page] | [PDF]

• Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner. "Expectation-Complete Graph Representations with Homomorphisms" | [Home Page] | [PDF]

• Jeffrey Wen, Rizwan Ahmad, Philip Schniter. "A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging" | [Home Page] | [PDF]

• Haitao Wen, Haoyang Cheng, Heqian Qiu, Lanxiao Wang, Lili Pan, Hongliang Li. "Optimizing Mode Connectivity for Class Incremental Learning" | [Home Page] | [PDF]

• Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas. "Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks" | [Home Page] | [PDF]

• Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang. "Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization" | [Home Page] | [PDF]

• Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu. "Fully-Adaptive Composition in Differential Privacy" | [Home Page] | [PDF]

• Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang. "Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation" | [Home Page] | [PDF]

• Ezekiel Williams, Colin Bredenberg, Guillaume Lajoie. "Flexible Phase Dynamics for Bio-Plausible Contrastive Learning" | [Home Page] | [PDF]

• Daniel James Williams, Song Liu. "Approximate Stein Classes for Truncated Density Estimation" | [Home Page] | [PDF]

• Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe. "Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables" | [Home Page] | [PDF]

• David Wipf. "Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations" | [Home Page] | [PDF]

• Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann. "Uncertainty Estimation for Molecules: Desiderata and Methods" | [Home Page] | [PDF]

• Jiin Woo, Gauri Joshi, Yuejie Chi. "The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond" | [Home Page] | [PDF]

• Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi. "Learning Deep Time-index Models for Time Series Forecasting" | [Home Page] | [PDF]

• David Woodruff, Taisuke Yasuda. "Sharper Bounds for $\ell_p$ Sensitivity Sampling" | [Home Page] | [PDF]

• Blake Woodworth, Konstantin Mishchenko, Francis Bach. "Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy" | [Home Page] | [PDF]

• Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu. "SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning" | [Home Page] | [PDF]

• Zhengxuan Wu, Karel D’Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts. "Causal Proxy Models for Concept-based Model Explanations" | [Home Page] | [PDF]

• Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu. "Effective Neural Topic Modeling with Embedding Clustering Regularization" | [Home Page] | [PDF]

• Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang. "Adaptive Compositional Continual Meta-Learning" | [Home Page] | [PDF]

• Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao. "Anchor Sampling for Federated Learning with Partial Client Participation" | [Home Page] | [PDF]

• Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long. "Solving High-Dimensional PDEs with Latent Spectral Models" | [Home Page] | [PDF]

• Yihan Wu, Heng Huang, Hongyang Zhang. "A Law of Robustness beyond Isoperimetry" | [Home Page] | [PDF]

• Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal. "Uncovering Adversarial Risks of Test-Time Adaptation" | [Home Page] | [PDF]

• Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu. "Stable Estimation of Heterogeneous Treatment Effects" | [Home Page] | [PDF]

• Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li. "Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching" | [Home Page] | [PDF]

• Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He. "Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases" | [Home Page] | [PDF]

• Guoqiang Wu, Chongxuan Li, Yilong Yin. "Towards Understanding Generalization of Macro-AUC in Multi-label Learning" | [Home Page] | [PDF]

• Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li. "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs" | [Home Page] | [PDF]

• Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson. "Delay-agnostic Asynchronous Coordinate Update Algorithm" | [Home Page] | [PDF]

• Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran. "Masked Trajectory Models for Prediction, Representation, and Control" | [Home Page] | [PDF]

• Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu. "Disentangled Multi-Fidelity Deep Bayesian Active Learning" | [Home Page] | [PDF]

• Hao Wu, Olga Ohrimenko, Anthony Wirth. "Tight Data Access Bounds for Private Top-$k$ Selection" | [Home Page] | [PDF]

• Lei Wu, Weijie J Su. "The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent" | [Home Page] | [PDF]

• Runzhe Wu, Masatoshi Uehara, Wen Sun. "Distributional Offline Policy Evaluation with Predictive Error Guarantees" | [Home Page] | [PDF]

• Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo. "$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation" | [Home Page] | [PDF]

• Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski. "Learning Functional Distributions with Private Labels" | [Home Page] | [PDF]

• Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan. "QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms" | [Home Page] | [PDF]

• Shirley Wu, Mert Yuksekgonul, Linjun Zhang, James Zou. "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" | [Home Page] | [PDF]

• David Xing Wu, Chulhee Yun, Suvrit Sra. "On the Training Instability of Shuffling SGD with Batch Normalization" | [Home Page] | [PDF]

• Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou. "dugMatting: Decomposed-Uncertainty-Guided Matting" | [Home Page] | [PDF]

• Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng. "Personalized Federated Learning under Mixture of Distributions" | [Home Page] | [PDF]

• Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang. "Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards" | [Home Page] | [PDF]

• Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade. "Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron" | [Home Page] | [PDF]

• Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding. "Understanding Backdoor Attacks through the Adaptability Hypothesis" | [Home Page] | [PDF]

• Ruicheng Xian, Lang Yin, Han Zhao. "Fair and Optimal Classification via Post-Processing" | [Home Page] | [PDF]

• Zhen Xiang, Zidi Xiong, Bo Li. "UMD: Unsupervised Model Detection for X2X Backdoor Attacks" | [Home Page] | [PDF]

• Jie Xiao, Xueyang Fu, Man Zhou, Hongjian Liu, Zheng-Jun Zha. "Random Shuffle Transformer for Image Restoration" | [Home Page] | [PDF]

• Peiyao Xiao, Kaiyi Ji. "Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation" | [Home Page] | [PDF]

• Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han. "SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models" | [Home Page] | [PDF]

• Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus. "On the Forward Invariance of Neural ODEs" | [Home Page] | [PDF]

• Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan. "COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models" | [Home Page] | [PDF]

• Pengtao Xie. "Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques" | [Home Page] | [PDF]

• Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li. "Future-conditioned Unsupervised Pretraining for Decision Transformer" | [Home Page] | [PDF]

• Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong. "DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models" | [Home Page] | [PDF]

• Chuhan Xie, Wenhao Yang, Zhihua Zhang. "Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes" | [Home Page] | [PDF]

• Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael Abdalmageed. "A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment" | [Home Page] | [PDF]

• Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan. "Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification" | [Home Page] | [PDF]

• Zheng Xiong, Jacob Beck, Shimon Whiteson. "Universal Morphology Control via Contextual Modulation" | [Home Page] | [PDF]

• Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Muller, Shinichi Nakajima. "Relevant Walk Search for Explaining Graph Neural Networks" | [Home Page] | [PDF]

• Frank F. Xu, Uri Alon, Graham Neubig. "Why do Nearest Neighbor Language Models Work?" | [Home Page] | [PDF]

• Zuheng Xu, Naitong Chen, Trevor Campbell. "MixFlows: principled variational inference via mixed flows" | [Home Page] | [PDF]

• Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang. "Bit Allocation using Optimization" | [Home Page] | [PDF]

• Wenhao Xu, Xuefeng Gao, Xuedong He. "Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents" | [Home Page] | [PDF]

• Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang. "Probabilistic Categorical Adversarial Attack and Adversarial Training" | [Home Page] | [PDF]

• Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D.D. Willis, Yasutaka Furukawa. "Hierarchical Neural Coding for Controllable CAD Model Generation" | [Home Page] | [PDF]

• Hainan Xu, Fei Jia, Somshubra Majumdar, He Huang, Shinji Watanabe, Boris Ginsburg. "Efficient Sequence Transduction by Jointly Predicting Tokens and Durations" | [Home Page] | [PDF]

• Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones. "Constrained Efficient Global Optimization of Expensive Black-box Functions" | [Home Page] | [PDF]

• Mengfan Xu, Diego Klabjan. "Pareto Regret Analyses in Multi-objective Multi-armed Bandit" | [Home Page] | [PDF]

• Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu. "Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference" | [Home Page] | [PDF]

• Jing Xu, Haoxiong Liu. "Quantifying the Variability Collapse of Neural Networks" | [Home Page] | [PDF]

• Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng. "Progressive Purification for Instance-Dependent Partial Label Learning" | [Home Page] | [PDF]

• Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola. "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models" | [Home Page] | [PDF]

• Minkai Xu, Alexander S Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec. "Geometric Latent Diffusion Models for 3D Molecule Generation" | [Home Page] | [PDF]

• Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma. "The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing" | [Home Page] | [PDF]

• Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu. "Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning" | [Home Page] | [PDF]

• Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui. "Competing for Shareable Arms in Multi-Player Multi-Armed Bandits" | [Home Page] | [PDF]

• Chen Xu, Yao Xie. "Sequential Predictive Conformal Inference for Time Series" | [Home Page] | [PDF]

• Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou. "mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video" | [Home Page] | [PDF]

• Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang. "ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts" | [Home Page] | [PDF]

• Yunbei Xu, Assaf Zeevi. "Bayesian Design Principles for Frequentist Sequential Learning" | [Home Page] | [PDF]

• Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis. "SLAMB: Accelerated Large Batch Training with Sparse Communication" | [Home Page] | [PDF]

• Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu. "Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks" | [Home Page] | [PDF]

• Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song. "An Instrumental Variable Approach to Confounded Off-Policy Evaluation" | [Home Page] | [PDF]

• Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang. "Near-Optimal Quantum Coreset Construction Algorithms for Clustering" | [Home Page] | [PDF]

• Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You. "A Study on Transformer Configuration and Training Objective" | [Home Page] | [PDF]

• Rui Xue, Haoyu Han, Mohamadali Torkamani, Jian Pei, Xiaorui Liu. "LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation" | [Home Page] | [PDF]

• Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman. "Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression" | [Home Page] | [PDF]

• Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You. "Adaptive Computation with Elastic Input Sequence" | [Home Page] | [PDF]

• Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez. "Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL" | [Home Page] | [PDF]

• Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda. "Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation" | [Home Page] | [PDF]

• Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu. "Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data" | [Home Page] | [PDF]

• Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel. "Temporally Consistent Transformers for Video Generation" | [Home Page] | [PDF]

• Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang. "Distortion and Uncertainty Aware Loss for Panoramic Depth Completion" | [Home Page] | [PDF]

• Jingquan Yan, Hao Wang. "Self-Interpretable Time Series Prediction with Counterfactual Explanations" | [Home Page] | [PDF]

• Ge Yan, Huaijin Wu, Junchi Yan. "Quantum 3D Graph Learning with Applications to Molecule Embedding" | [Home Page] | [PDF]

• Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou. "Fast Rates in Time-Varying Strongly Monotone Games" | [Home Page] | [PDF]

• Hiroki Yanagisawa. "Proper Scoring Rules for Survival Analysis" | [Home Page] | [PDF]

• Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li. "Behavior Contrastive Learning for Unsupervised Skill Discovery" | [Home Page] | [PDF]

• Junwen Yang, Yifan Feng. "Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback" | [Home Page] | [PDF]

• Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi. "Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering" | [Home Page] | [PDF]

• Shenghao Yang, Kimon Fountoulakis. "Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees" | [Home Page] | [PDF]

• Soojung Yang, Rafael Gomez-Bombarelli. "Chemically Transferable Generative Backmapping of Coarse-Grained Proteins" | [Home Page] | [PDF]

• Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang. "Data Poisoning Attacks Against Multimodal Encoders" | [Home Page] | [PDF]

• Yu Yang, Hao Kang, Baharan Mirzasoleiman. "Towards Sustainable Learning: Coresets for Data-efficient Deep Learning" | [Home Page] | [PDF]

• Dongyoon Yang, Insung Kong, Yongdai Kim. "Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples" | [Home Page] | [PDF]

• Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu. "Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics" | [Home Page] | [PDF]

• Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman. "Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning" | [Home Page] | [PDF]

• Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison. "A theory of representation learning gives a deep generalisation of kernel methods" | [Home Page] | [PDF]

• Joonhyuk Yang, Dongpil Shin, Hye Won Chung. "Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation" | [Home Page] | [PDF]

• Yongyi Yang, Jacob Steinhardt, Wei Hu. "Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations" | [Home Page] | [PDF]

• Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu. "Generative Adversarial Symmetry Discovery" | [Home Page] | [PDF]

• Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang. "Boosting Offline Reinforcement Learning with Action Preference Query" | [Home Page] | [PDF]

• Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao. "Towards Controlled Data Augmentations for Active Learning" | [Home Page] | [PDF]

• Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang. "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?" | [Home Page] | [PDF]

• Lingxiao Yang, Hongzhi You, Zonglei Zhen, Dahui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang. "Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests" | [Home Page] | [PDF]

• Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi. "Change is Hard: A Closer Look at Subpopulation Shift" | [Home Page] | [PDF]

• Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi. "Continual Task Allocation in Meta-Policy Network via Sparse Prompting" | [Home Page] | [PDF]

• Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King. "Hyperbolic Representation Learning: Revisiting and Advancing" | [Home Page] | [PDF]

• Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu. "Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?" | [Home Page] | [PDF]

• Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu. "How Bad is Top-$K$ Recommendation under Competing Content Creators?" | [Home Page] | [PDF]

• Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu. "MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks" | [Home Page] | [PDF]

• Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He. "Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games" | [Home Page] | [PDF]

• Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih. "Retrieval-Augmented Multimodal Language Modeling" | [Home Page] | [PDF]

• Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du. "On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness" | [Home Page] | [PDF]

• Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang. "Personalized Federated Learning with Inferred Collaboration Graphs" | [Home Page] | [PDF]

• Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong. "Compositional Exemplars for In-context Learning" | [Home Page] | [PDF]

• Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang. "Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes" | [Home Page] | [PDF]

• Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang. "GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming" | [Home Page] | [PDF]

• Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang. "FedDisco: Federated Learning with Discrepancy-Aware Collaboration" | [Home Page] | [PDF]

• Xinyu Ye, Ge Yan, Junchi Yan. "Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver" | [Home Page] | [PDF]

• Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova. "Temporal Label Smoothing for Early Event Prediction" | [Home Page] | [PDF]

• Raanan Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik. "From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders" | [Home Page] | [PDF]

• Jialin Yi, Milan Vojnovic. "Doubly Adversarial Federated Bandits" | [Home Page] | [PDF]

• Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen. "Online Prototype Alignment for Few-shot Policy Transfer" | [Home Page] | [PDF]

• Mingxuan Yi, Zhanxing Zhu, Song Liu. "MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows" | [Home Page] | [PDF]

• Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi Jaakkola. "SE(3) diffusion model with application to protein backbone generation" | [Home Page] | [PDF]

• Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo. "CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification" | [Home Page] | [PDF]

• Jiaxi Ying, José Vinı́cius De Miranda Cardoso, Daniel P. Palomar. "Adaptive Estimation of Graphical Models under Total Positivity" | [Home Page] | [PDF]

• Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon. "Improving Visual Prompt Tuning for Self-supervised Vision Transformers" | [Home Page] | [PDF]

• Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak. "End-to-End Multi-Object Detection with a Regularized Mixture Model" | [Home Page] | [PDF]

• Ji Won Yoon, Sunghwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim. "EM-Network: Oracle Guided Self-distillation for Sequence Learning" | [Home Page] | [PDF]

• Jaehong Yoon, Sung Ju Hwang, Yue Cao. "Continual Learners are Incremental Model Generalizers" | [Home Page] | [PDF]

• Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn. "An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning" | [Home Page] | [PDF]

• Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov. "Graph Generative Model for Benchmarking Graph Neural Networks" | [Home Page] | [PDF]

• Xuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu. "Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels" | [Home Page] | [PDF]

• Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki. "Entropy-driven Unsupervised Keypoint Representation Learning in Videos" | [Home Page] | [PDF]

• Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber. "The Benefits of Model-Based Generalization in Reinforcement Learning" | [Home Page] | [PDF]

• Anlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen. "COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects" | [Home Page] | [PDF]

• Chenglin Yu, Xinsong Ma, Weiwei Liu. "Delving into Noisy Label Detection with Clean Data" | [Home Page] | [PDF]

• Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan. "Bag of Tricks for Training Data Extraction from Language Models" | [Home Page] | [PDF]

• Dayou Yu, Weishi Shi, Qi Yu. "Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning" | [Home Page] | [PDF]

• Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao. "Long-Term Rhythmic Video Soundtracker" | [Home Page] | [PDF]

• Lijia Yu, Yihan Wang, Xiao-Shan Gao. "Adversarial Parameter Attack on Deep Neural Networks" | [Home Page] | [PDF]

• Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao. "CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models" | [Home Page] | [PDF]

• Liren Yu, Jiaming Xu, Xiaojun Lin. "SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching" | [Home Page] | [PDF]

• Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji. "Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian" | [Home Page] | [PDF]

• Xian Yu, Lei Ying. "On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures" | [Home Page] | [PDF]

• Zishun Yu, Xinhua Zhang. "Actor-Critic Alignment for Offline-to-Online Reinforcement Learning" | [Home Page] | [PDF]

• Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin. "Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning" | [Home Page] | [PDF]

• Ganzhao Yuan. "Coordinate Descent Methods for Fractional Minimization" | [Home Page] | [PDF]

• Yang Yuan. "On the Power of Foundation Models" | [Home Page] | [PDF]

• Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng. "Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning" | [Home Page] | [PDF]

• Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee. "Traversing Between Modes in Function Space for Fast Ensembling" | [Home Page] | [PDF]

• Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano. "Conformal Prediction with Missing Values" | [Home Page] | [PDF]

• Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi. "KDEformer: Accelerating Transformers via Kernel Density Estimation" | [Home Page] | [PDF]

• Santiago Zanella-Beguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones. "Bayesian Estimation of Differential Privacy" | [Home Page] | [PDF]

• Andrea Zanette. "When is Realizability Sufficient for Off-Policy Reinforcement Learning?" | [Home Page] | [PDF]

• Sepanta Zeighami, Cyrus Shahabi. "On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing" | [Home Page] | [PDF]

• Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard. "Sequential Counterfactual Risk Minimization" | [Home Page] | [PDF]

• Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh. "LookupFFN: Making Transformers Compute-lite for CPU inference" | [Home Page] | [PDF]

• Shiwei Zeng, Jie Shen. "Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise" | [Home Page] | [PDF]

• Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong. "Generative Graph Dictionary Learning" | [Home Page] | [PDF]

• Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind. "Stabilizing Transformer Training by Preventing Attention Entropy Collapse" | [Home Page] | [PDF]

• Yuheng Zhang, Yu Bai, Nan Jiang. "Offline Learning in Markov Games with General Function Approximation" | [Home Page] | [PDF]

• Jianyu Zhang, Leon Bottou. "Learning useful representations for shifting tasks and distributions" | [Home Page] | [PDF]

• Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok. "Nonparametric Iterative Machine Teaching" | [Home Page] | [PDF]

• Cindy Zhang, Sarah Huiyi Cen, Devavrat Shah. "Matrix Estimation for Individual Fairness" | [Home Page] | [PDF]

• Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu. "Graph Contrastive Backdoor Attacks" | [Home Page] | [PDF]

• Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao. "Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories" | [Home Page] | [PDF]

• Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van Den Broeck. "Tractable Control for Autoregressive Language Generation" | [Home Page] | [PDF]

• Yuhua Zhang, Walter H. Dempsey. "CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data" | [Home Page] | [PDF]

• Jiuling Zhang, Zhiming Ding. "Rethink DARTS Search Space and Renovate a New Benchmark" | [Home Page] | [PDF]

• Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm. "Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization" | [Home Page] | [PDF]

• Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang. "A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests" | [Home Page] | [PDF]

• Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang. "Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution" | [Home Page] | [PDF]

• Biao Zhang, Barry Haddow, Alexandra Birch. "Prompting Large Language Model for Machine Translation: A Case Study" | [Home Page] | [PDF]

• Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu. "On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits" | [Home Page] | [PDF]

• Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang. "When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations" | [Home Page] | [PDF]

• Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han. "Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation" | [Home Page] | [PDF]

• Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang. "Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models" | [Home Page] | [PDF]

• Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong. "CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling" | [Home Page] | [PDF]

• Shenao Zhang, Wanxin Jin, Zhaoran Wang. "Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics" | [Home Page] | [PDF]

• Hang Zhang, Ping Li. "One-Step Estimator for Permuted Sparse Recovery" | [Home Page] | [PDF]

• Chenyi Zhang, Tongyang Li. "Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions" | [Home Page] | [PDF]

• Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold. "Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling" | [Home Page] | [PDF]

• Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong. "FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization" | [Home Page] | [PDF]

• Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin. "On the Optimality of Misspecified Kernel Ridge Regression" | [Home Page] | [PDF]

• Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li. "Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction" | [Home Page] | [PDF]

• Zaixi Zhang, Qi Liu. "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design" | [Home Page] | [PDF]

• Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji. "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation" | [Home Page] | [PDF]

• Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez. "The Wisdom of Hindsight Makes Language Models Better Instruction Followers" | [Home Page] | [PDF]

• Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan. "Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score" | [Home Page] | [PDF]

• Shijun Zhang, Jianfeng Lu, Hongkai Zhao. "On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network" | [Home Page] | [PDF]

• Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji. "Bi-directional Masks for Efficient N:M Sparse Training" | [Home Page] | [PDF]

• Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu. "Towards Unbiased Training in Federated Open-world Semi-supervised Learning" | [Home Page] | [PDF]

• Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji. "Interactive Object Placement with Reinforcement Learning" | [Home Page] | [PDF]

• Fangzhao Zhang, Mert Pilanci. "Optimal Shrinkage for Distributed Second-Order Optimization" | [Home Page] | [PDF]

• Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi. ""Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts" | [Home Page] | [PDF]

• Fengxue Zhang, Jialin Song, James C Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen. "Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation" | [Home Page] | [PDF]

• Yivan Zhang, Masashi Sugiyama. "A Category-theoretical Meta-analysis of Definitions of Disentanglement" | [Home Page] | [PDF]

• Shangtong Zhang, Remi Tachet Des Combes, Romain Laroche. "On the Convergence of SARSA with Linear Function Approximation" | [Home Page] | [PDF]

• Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan. "AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation" | [Home Page] | [PDF]

• Qi Zhang, Yifei Wang, Yisen Wang. "On the Generalization of Multi-modal Contrastive Learning" | [Home Page] | [PDF]

• Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen. "ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction" | [Home Page] | [PDF]

• Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai. "Towards Trustworthy Explanation: On Causal Rationalization" | [Home Page] | [PDF]

• He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan. "Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks" | [Home Page] | [PDF]

• Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng. "Provable Dynamic Fusion for Low-Quality Multimodal Data" | [Home Page] | [PDF]

• Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li. "ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval" | [Home Page] | [PDF]

• Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang. "Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests" | [Home Page] | [PDF]

• Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang. "Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection" | [Home Page] | [PDF]

• Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang. "Coder Reviewer Reranking for Code Generation" | [Home Page] | [PDF]

• Wanrong Zhang, Ruqi Zhang. "DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference" | [Home Page] | [PDF]

• Yifan Zhang, Min-Ling Zhang. "Nearly-tight Bounds for Deep Kernel Learning" | [Home Page] | [PDF]

• Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Qian Liu, Wei Cao, Li Jian. "OpenFE: Automated Feature Generation with Expert-level Performance" | [Home Page] | [PDF]

• Junkai Zhang, Weitong Zhang, Quanquan Gu. "Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs" | [Home Page] | [PDF]

• Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek. "Unlocking Slot Attention by Changing Optimal Transport Costs" | [Home Page] | [PDF]

• Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu. "Towards a Persistence Diagram that is Robust to Noise and Varied Densities" | [Home Page] | [PDF]

• Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian. "Robust Situational Reinforcement Learning in Face of Context Disturbances" | [Home Page] | [PDF]

• Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan. "Patch-level Contrastive Learning via Positional Query for Visual Pre-training" | [Home Page] | [PDF]

• Dora Zhao, Jerone Andrews, Alice Xiang. "Men Also Do Laundry: Multi-Attribute Bias Amplification" | [Home Page] | [PDF]

• Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont. "Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch" | [Home Page] | [PDF]

• Yixiu Zhao, Scott Linderman. "Revisiting Structured Variational Autoencoders" | [Home Page] | [PDF]

• Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin. "On Pitfalls of Test-Time Adaptation" | [Home Page] | [PDF]

• Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar. "Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm" | [Home Page] | [PDF]

• Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu. "X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion" | [Home Page] | [PDF]

• Yao Zhao, Connor Stephens, Csaba Szepesvari, Kwang-Sung Jun. "Revisiting Simple Regret: Fast Rates for Returning a Good Arm" | [Home Page] | [PDF]

• He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla. "Transformed Distribution Matching for Missing Value Imputation" | [Home Page] | [PDF]

• Xuandong Zhao, Yu-Xiang Wang, Lei Li. "Protecting Language Generation Models via Invisible Watermarking" | [Home Page] | [PDF]

• Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee. "Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen. "Simplified Temporal Consistency Reinforcement Learning" | [Home Page] | [PDF]

• Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou. "RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation" | [Home Page] | [PDF]

• Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu. "Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits" | [Home Page] | [PDF]

• Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang. "Does Continual Learning Equally Forget All Parameters?" | [Home Page] | [PDF]

• Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael Jordan. "Online Learning in Stackelberg Games with an Omniscient Follower" | [Home Page] | [PDF]

• Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye, Quanquan Gu. "Structure-informed Language Models Are Protein Designers" | [Home Page] | [PDF]

• Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover. "Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories" | [Home Page] | [PDF]

• Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu. "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" | [Home Page] | [PDF]

• Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar. "Fast Sampling of Diffusion Models via Operator Learning" | [Home Page] | [PDF]

• Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang. "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation" | [Home Page] | [PDF]

• Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu. "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications" | [Home Page] | [PDF]

• Ervine Zheng, Qi Yu. "Evidential Interactive Learning for Medical Image Captioning" | [Home Page] | [PDF]

• Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan. "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs" | [Home Page] | [PDF]

• Shengwei Zhou, Rufan Bai, Xiaowei Wu. "Multi-agent Online Scheduling: MMS Allocations for Indivisible Items" | [Home Page] | [PDF]

• Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu. "Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration" | [Home Page] | [PDF]

• Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V Le, Claire Cui, James Laudon, Jeff Dean. "Brainformers: Trading Simplicity for Efficiency" | [Home Page] | [PDF]

• Mo Zhou, Rong Ge. "Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression" | [Home Page] | [PDF]

• Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li. "ODS: Test-Time Adaptation in the Presence of Open-World Data Shift" | [Home Page] | [PDF]

• Man Zhou, Jie Huang, Chun-Le Guo, Chongyi Li. "Fourmer: An Efficient Global Modeling Paradigm for Image Restoration" | [Home Page] | [PDF]

• Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan. "Controlled Text Generation with Natural Language Instructions" | [Home Page] | [PDF]

• Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu. "NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation" | [Home Page] | [PDF]

• Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon. "Deep Latent State Space Models for Time-Series Generation" | [Home Page] | [PDF]

• Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li. "SlotGAT: Slot-based Message Passing for Heterogeneous Graphs" | [Home Page] | [PDF]

• Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh. "Fast Online Node Labeling for Very Large Graphs" | [Home Page] | [PDF]

• Runlong Zhou, Ruosong Wang, Simon Shaolei Du. "Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes" | [Home Page] | [PDF]

• Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu. "Phase-aware Adversarial Defense for Improving Adversarial Robustness" | [Home Page] | [PDF]

• Cai Zhou, Xiyuan Wang, Muhan Zhang. "From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks" | [Home Page] | [PDF]

• Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang. "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems" | [Home Page] | [PDF]

• Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney. "A Three-regime Model of Network Pruning" | [Home Page] | [PDF]

• Zihan Zhou, Tianshu Yu. "Learning to Decouple Complex Systems" | [Home Page] | [PDF]

• Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang. "ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation" | [Home Page] | [PDF]

• Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han. "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation" | [Home Page] | [PDF]

• Runlong Zhou, Zhang Zihan, Simon Shaolei Du. "Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments" | [Home Page] | [PDF]

• Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong. "Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator" | [Home Page] | [PDF]

• Harrison Zhu, Carles Balsells-Rodas, Yingzhen Li. "Markovian Gaussian Process Variational Autoencoders" | [Home Page] | [PDF]

• Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott. "Mixture Proportion Estimation Beyond Irreducibility" | [Home Page] | [PDF]

• Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han. "Exploring Model Dynamics for Accumulative Poisoning Discovery" | [Home Page] | [PDF]

• Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao. "Decentralized SGD and Average-direction SAM are Asymptotically Equivalent" | [Home Page] | [PDF]

• Banghua Zhu, Michael Jordan, Jiantao Jiao. "Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons" | [Home Page] | [PDF]

• Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han. "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability" | [Home Page] | [PDF]

• Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher. "Benign Overfitting in Deep Neural Networks under Lazy Training" | [Home Page] | [PDF]

• Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen, Bo Li, Ding Zhao. "Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics" | [Home Page] | [PDF]

• Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen. "LeadFL: Client Self-Defense against Model Poisoning in Federated Learning" | [Home Page] | [PDF]

• Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran. "XTab: Cross-table Pretraining for Tabular Transformers" | [Home Page] | [PDF]

• Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang. "Provable Multi-instance Deep AUC Maximization with Stochastic Pooling" | [Home Page] | [PDF]

• Junyi Zhu, Ruicong Yao, Matthew B. Blaschko. "Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning" | [Home Page] | [PDF]

• Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu. "Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes" | [Home Page] | [PDF]

• Dixian Zhu, Yiming Ying, Tianbao Yang. "Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity" | [Home Page] | [PDF]

• Yubo Zhuang, Xiaohui Chen, Yun Yang. "Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data" | [Home Page] | [PDF]

• Juliusz Krzysztof Ziomek, Haitham Bou Ammar. "Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?" | [Home Page] | [PDF]

• Joshua P Zitovsky, Daniel De Marchi, Rishabh Agarwal, Michael Rene Kosorok. "Revisiting Bellman Errors for Offline Model Selection" | [Home Page] | [PDF]

• Liu Ziyin, Zihao Wang. "spred: Solving L1 Penalty with SGD" | [Home Page] | [PDF]

• Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu. "The Benefits of Mixup for Feature Learning" | [Home Page] | [PDF]