icml2021.md

ICML2021

• Majid Abdolshah, Hung Le, Thommen Karimpanal George, Sunil Gupta, Santu Rana, Svetha Venkatesh. "A New Representation of Successor Features for Transfer across Dissimilar Environments" | [Home Page] | [PDF]

• Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan K. Yadav. "Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling" | [Home Page] | [PDF]

• Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas, Matthew Mattina, Paul Whatmough, Venkatesh Saligrama. "Debiasing Model Updates for Improving Personalized Federated Training" | [Home Page] | [PDF]

• Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama. "Memory Efficient Online Meta Learning" | [Home Page] | [PDF]

• Jayadev Acharya, Ziteng Sun, Huanyu Zhang. "Robust Testing and Estimation under Manipulation Attacks" | [Home Page] | [PDF]

• Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya. "GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning" | [Home Page] | [PDF]

• David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler. "f-Domain Adversarial Learning: Theory and Algorithms" | [Home Page] | [PDF]

• Darius Afchar, Vincent Guigue, Romain Hennequin. "Towards Rigorous Interpretations: a Formalisation of Feature Attribution" | [Home Page] | [PDF]

• Naman Agarwal, Surbhi Goel, Cyril Zhang. "Acceleration via Fractal Learning Rate Schedules" | [Home Page] | [PDF]

• Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh. "A Regret Minimization Approach to Iterative Learning Control" | [Home Page] | [PDF]

• Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations" | [Home Page] | [PDF]

• Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier. "Label Inference Attacks from Log-loss Scores" | [Home Page] | [PDF]

• Laurence Aitchison, Adam Yang, Sebastian W. Ober. "Deep kernel processes" | [Home Page] | [PDF]

• Ali Akbari, Muhammad Awais, Manijeh Bashar, Josef Kittler. "How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation" | [Home Page] | [PDF]

• Shunta Akiyama, Taiji Suzuki. "On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting" | [Home Page] | [PDF]

• Maxwell M Aladago, Lorenzo Torresani. "Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks" | [Home Page] | [PDF]

• Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell Nye, Armando Solar-Lezama, Tomas Lozano-Perez, Leslie Kaelbling, Joshua Tenenbaum. "A large-scale benchmark for few-shot program induction and synthesis" | [Home Page] | [PDF]

• Ayya Alieva, Ashok Cutkosky, Abhimanyu Das. "Robust Pure Exploration in Linear Bandits with Limited Budget" | [Home Page] | [PDF]

• Foivos Alimisis, Peter Davies, Dan Alistarh. "Communication-Efficient Distributed Optimization with Quantized Preconditioners" | [Home Page] | [PDF]

• Pierre Alquier. "Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions" | [Home Page] | [PDF]

• David Alvarez-Melis, Nicolò Fusi. "Dataset Dynamics via Gradient Flows in Probability Space" | [Home Page] | [PDF]

• Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Alberto Marchetti-Spaccamela, Rebecca Reiffenhäuser. "Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity" | [Home Page] | [PDF]

• Sanae Amani, Christos Thrampoulidis, Lin Yang. "Safe Reinforcement Learning with Linear Function Approximation" | [Home Page] | [PDF]

• Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven. "Automatic variational inference with cascading flows" | [Home Page] | [PDF]

• Sebastian E. Ament, Carla P. Gomes. "Sparse Bayesian Learning via Stepwise Regression" | [Home Page] | [PDF]

• Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup. "Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards" | [Home Page] | [PDF]

• Nishanth V. Anand, Doina Precup. "Preferential Temporal Difference Learning" | [Home Page] | [PDF]

• Fidel Ernesto Diaz Andino, Maria Kokkou, Mateus De Oliveira Oliveira, Farhad Vadiee. "Unitary Branching Programs: Learnability and Lower Bounds" | [Home Page] | [PDF]

• Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan Decastro, Micah Fry, Daniela Rus. "The Logical Options Framework" | [Home Page] | [PDF]

• Michael Arbel, Alex Matthews, Arnaud Doucet. "Annealed Flow Transport Monte Carlo" | [Home Page] | [PDF]

• David Arbour, Drew Dimmery, Arjun Sondhi. "Permutation Weighting" | [Home Page] | [PDF]

• Ludovic Arnould, Claire Boyer, Erwan Scornet. "Analyzing the tree-layer structure of Deep Forests" | [Home Page] | [PDF]

• Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro. "Dropout: Explicit Forms and Capacity Control" | [Home Page] | [PDF]

• Artem Artemev, David R. Burt, Mark van der Wilk. "Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients" | [Home Page] | [PDF]

• Dilip Arumugam, Benjamin Van Roy. "Deciding What to Learn: A Rate-Distortion Approach" | [Home Page] | [PDF]

• Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar. "Private Adaptive Gradient Methods for Convex Optimization" | [Home Page] | [PDF]

• Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar. "Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry" | [Home Page] | [PDF]

• Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai. "Combinatorial Blocking Bandits with Stochastic Delays" | [Home Page] | [PDF]

• Julien Audiffren. "Dichotomous Optimistic Search to Quantify Human Perception" | [Home Page] | [PDF]

• Dmitrii Avdiukhin, Shiva Kasiviswanathan. "Federated Learning under Arbitrary Communication Patterns" | [Home Page] | [PDF]

• Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Yehuda Levy. "Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge" | [Home Page] | [PDF]

• Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu. "Decomposable Submodular Function Minimization via Maximum Flow" | [Home Page] | [PDF]

• Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva. "Differentially Private Query Release Through Adaptive Projection" | [Home Page] | [PDF]

• Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry. "On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent" | [Home Page] | [PDF]

• Zahra Babaiee, Ramin Hasani, Mathias Lechner, Daniela Rus, Radu Grosu. "On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification" | [Home Page] | [PDF]

• Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann. "Uniform Convergence, Adversarial Spheres and a Simple Remedy" | [Home Page] | [PDF]

• Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner. "Faster Kernel Matrix Algebra via Density Estimation" | [Home Page] | [PDF]

• Kishan Panaganti Badrinath, Dileep Kalathil. "Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees" | [Home Page] | [PDF]

• Akhil Bagaria, Jason K Senthil, George Konidaris. "Skill Discovery for Exploration and Planning using Deep Skill Graphs" | [Home Page] | [PDF]

• Dara Bahri, Heinrich Jiang. "Locally Adaptive Label Smoothing Improves Predictive Churn" | [Home Page] | [PDF]

• Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason Lee, Sham Kakade, Huan Wang, Caiming Xiong. "How Important is the Train-Validation Split in Meta-Learning?" | [Home Page] | [PDF]

• Shaojie Bai, Vladlen Koltun, Zico Kolter. "Stabilizing Equilibrium Models by Jacobian Regularization" | [Home Page] | [PDF]

• Yu Bai, Song Mei, Huan Wang, Caiming Xiong. "Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification" | [Home Page] | [PDF]

• Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang. "Principled Exploration via Optimistic Bootstrapping and Backward Induction" | [Home Page] | [PDF]

• Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang. "GLSearch: Maximum Common Subgraph Detection via Learning to Search" | [Home Page] | [PDF]

• Muhammet Balcilar, Pierre Heroux, Benoit Gauzere, Pascal Vasseur, Sebastien Adam, Paul Honeine. "Breaking the Limits of Message Passing Graph Neural Networks" | [Home Page] | [PDF]

• Eric Balkanski, Sharon Qian, Yaron Singer. "Instance Specific Approximations for Submodular Maximization" | [Home Page] | [PDF]

• Philip J Ball, Cong Lu, Jack Parker-Holder, Stephen Roberts. "Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment" | [Home Page] | [PDF]

• Santiago Balseiro, Haihao Lu, Vahab Mirrokni. "Regularized Online Allocation Problems: Fairness and Beyond" | [Home Page] | [PDF]

• Yujia Bao, Shiyu Chang, Regina Barzilay. "Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers" | [Home Page] | [PDF]

• Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang. "Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models" | [Home Page] | [PDF]

• Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson. "Compositional Video Synthesis with Action Graphs" | [Home Page] | [PDF]

• Nadav Barak, Sivan Sabato. "Approximating a Distribution Using Weight Queries" | [Home Page] | [PDF]

• Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath. "Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization" | [Home Page] | [PDF]

• Burak Bartan, Mert Pilanci. "Training Quantized Neural Networks to Global Optimality via Semidefinite Programming" | [Home Page] | [PDF]

• Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman. "Beyond $log^2(T)$ regret for decentralized bandits in matching markets" | [Home Page] | [PDF]

• Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric Maillard. "Optimal Thompson Sampling strategies for support-aware CVaR bandits" | [Home Page] | [PDF]

• Dorian Baudry, Yoan Russac, Olivier Cappé. "On Limited-Memory Subsampling Strategies for Bandits" | [Home Page] | [PDF]

• Matthias Bauer, Andriy Mnih. "Generalized Doubly Reparameterized Gradient Estimators" | [Home Page] | [PDF]

• Dominique Beani, Saro Passaro, Vincent Létourneau, Will Hamilton, Gabriele Corso, Pietro Lió. "Directional Graph Networks" | [Home Page] | [PDF]

• Alexis Bellot, Mihaela van der Schaar. "Policy Analysis using Synthetic Controls in Continuous-Time" | [Home Page] | [PDF]

• Gregory Benton, Wesley Maddox, Sanae Lotfi, Andrew Gordon Gordon Wilson. "Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling" | [Home Page] | [PDF]

• Berkay Berabi, Jingxuan He, Veselin Raychev, Martin Vechev. "TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer" | [Home Page] | [PDF]

• Jeroen Berrevoets, Ahmed Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar. "Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis" | [Home Page] | [PDF]

• Patrice Bertail, Stephan Clémençon, Yannick Guyonvarch, Nathan Noiry. "Learning from Biased Data: A Semi-Parametric Approach" | [Home Page] | [PDF]

• Gedas Bertasius, Heng Wang, Lorenzo Torresani. "Is Space-Time Attention All You Need for Video Understanding?" | [Home Page] | [PDF]

• Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama. "Confidence Scores Make Instance-dependent Label-noise Learning Possible" | [Home Page] | [PDF]

• Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro. "Size-Invariant Graph Representations for Graph Classification Extrapolations" | [Home Page] | [PDF]

• Sourbh Bhadane, Aaron B Wagner, Jayadev Acharya. "Principal Bit Analysis: Autoencoding with Schur-Concave Loss" | [Home Page] | [PDF]

• Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal. "Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries" | [Home Page] | [PDF]

• Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena. "Additive Error Guarantees for Weighted Low Rank Approximation" | [Home Page] | [PDF]

• Robi Bhattacharjee, Somesh Jha, Kamalika Chaudhuri. "Sample Complexity of Robust Linear Classification on Separated Data" | [Home Page] | [PDF]

• Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar. "Finding k in Latent $k-$ polytope" | [Home Page] | [PDF]

• Hangrui Bi, Hengyi Wang, Chence Shi, Connor Coley, Jian Tang, Hongyu Guo. "Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction" | [Home Page] | [PDF]

• André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer. "TempoRL: Learning When to Act" | [Home Page] | [PDF]

• Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski, Michał Misiurewicz, Georgios Piliouras. "Follow-the-Regularized-Leader Routes to Chaos in Routing Games" | [Home Page] | [PDF]

• Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurelien Lucchi, Giambattista Parascandolo. "Neural Symbolic Regression that scales" | [Home Page] | [PDF]

• Max Biggs, Wei Sun, Markus Ettl. "Model Distillation for Revenue Optimization: Interpretable Personalized Pricing" | [Home Page] | [PDF]

• Marin Biloš, Stephan Günnemann. "Scalable Normalizing Flows for Permutation Invariant Densities" | [Home Page] | [PDF]

• Ilai Bistritz, Nicholas Bambos. "Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games" | [Home Page] | [PDF]

• Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P Gomes, Kilian Weinberger. "Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision" | [Home Page] | [PDF]

• Davis Blalock, John Guttag. "Multiplying Matrices Without Multiplying" | [Home Page] | [PDF]

• Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao. "One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning" | [Home Page] | [PDF]

• Erik Bodin, Zhenwen Dai, Neill Campbell, Carl Henrik Ek. "Black-box density function estimation using recursive partitioning" | [Home Page] | [PDF]

• Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F Montufar, Pietro Lió, Michael Bronstein. "Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks" | [Home Page] | [PDF]

• Roberto Bondesan, Max Welling. "The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning" | [Home Page] | [PDF]

• David Brandfonbrener, William Whitney, Rajesh Ranganath, Joan Bruna. "Offline Contextual Bandits with Overparameterized Models" | [Home Page] | [PDF]

• Andy Brock, Soham De, Samuel L Smith, Karen Simonyan. "High-Performance Large-Scale Image Recognition Without Normalization" | [Home Page] | [PDF]

• James Brofos, Roy R Lederman. "Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo" | [Home Page] | [PDF]

• Ethan Brooks, Janarthanan Rajendran, Richard L Lewis, Satinder Singh. "Reinforcement Learning of Implicit and Explicit Control Flow Instructions" | [Home Page] | [PDF]

• Jonathan Brophy, Daniel Lowd. "Machine Unlearning for Random Forests" | [Home Page] | [PDF]

• Daniel S Brown, Jordan Schneider, Anca Dragan, Scott Niekum. "Value Alignment Verification" | [Home Page] | [PDF]

• David A Bruns-Smith. "Model-Free and Model-Based Policy Evaluation when Causality is Uncertain" | [Home Page] | [PDF]

• Francois Buet-Golfouse. "Narrow Margins: Classification, Margins and Fat Tails" | [Home Page] | [PDF]

• Mark Bun, Marek Elias, Janardhan Kulkarni. "Differentially Private Correlation Clustering" | [Home Page] | [PDF]

• Vivien A Cabannnes, Francis Bach, Alessandro Rudi. "Disambiguation of Weak Supervision leading to Exponential Convergence rates" | [Home Page] | [PDF]

• Diana Cai, Trevor Campbell, Tamara Broderick. "Finite mixture models do not reliably learn the number of components" | [Home Page] | [PDF]

• Tianle Cai, Ruiqi Gao, Jason Lee, Qi Lei. "A Theory of Label Propagation for Subpopulation Shift" | [Home Page] | [PDF]

• Xu Cai, Selwyn Gomes, Jonathan Scarlett. "Lenient Regret and Good-Action Identification in Gaussian Process Bandits" | [Home Page] | [PDF]

• Hanqin Cai, Yuchen Lou, Daniel Mckenzie, Wotao Yin. "A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization" | [Home Page] | [PDF]

• Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang. "GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training" | [Home Page] | [PDF]

• Xu Cai, Jonathan Scarlett. "On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization" | [Home Page] | [PDF]

• Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels. "High-dimensional Experimental Design and Kernel Bandits" | [Home Page] | [PDF]

• Andrew Campbell, Wenlong Chen, Vincent Stimper, Jose Miguel Hernandez-Lobato, Yichuan Zhang. "A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization" | [Home Page] | [PDF]

• Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris Holmes, Mert Gurbuzbalaban, Umut Simsekli. "Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections" | [Home Page] | [PDF]

• Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen. "Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design" | [Home Page] | [PDF]

• Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama. "Learning from Similarity-Confidence Data" | [Home Page] | [PDF]

• Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta. "Parameter-free Locally Accelerated Conditional Gradients" | [Home Page] | [PDF]

• Mathieu Carriere, Frederic Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda. "Optimizing persistent homology based functions" | [Home Page] | [PDF]

• Asaf B Cassel, Tomer Koren. "Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret" | [Home Page] | [PDF]

• Matteo Castiglioni, Alberto Marchesi, Andrea Celli, Nicola Gatti. "Multi-Receiver Online Bayesian Persuasion" | [Home Page] | [PDF]

• Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Libi Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach. "Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data" | [Home Page] | [PDF]

• Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King. "Disentangling syntax and semantics in the brain with deep networks" | [Home Page] | [PDF]

• L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi. "Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees" | [Home Page] | [PDF]

• Leonardo Cella, Massimiliano Pontil, Claudio Gentile. "Best Model Identification: A Rested Bandit Formulation" | [Home Page] | [PDF]

• Johan Samir Obando Ceron, Pablo Samuel Castro. "Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research" | [Home Page] | [PDF]

• Edoardo Cetin, Oya Celiktutan. "Learning Routines for Effective Off-Policy Reinforcement Learning" | [Home Page] | [PDF]

• Ciwan Ceylan, Salla Franzén, Florian T. Pokorny. "Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks" | [Home Page] | [PDF]

• Ben Chamberlain, James Rowbottom, Maria I Gorinova, Michael Bronstein, Stefan Webb, Emanuele Rossi. "GRAND: Graph Neural Diffusion" | [Home Page] | [PDF]

• Ines Chami, Albert Gu, Dat P Nguyen, Christopher Re. "HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections" | [Home Page] | [PDF]

• Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev. "Goal-Conditioned Reinforcement Learning with Imagined Subgoals" | [Home Page] | [PDF]

• Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi. "Locally Private k-Means in One Round" | [Home Page] | [PDF]

• Michael Chang, Sid Kaushik, Sergey Levine, Tom Griffiths. "Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment" | [Home Page] | [PDF]

• Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M Alvarez. "Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection" | [Home Page] | [PDF]

• Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos Tsourakakis. "DeepWalking Backwards: From Embeddings Back to Graphs" | [Home Page] | [PDF]

• Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik. "Differentiable Spatial Planning using Transformers" | [Home Page] | [PDF]

• Henry J Charlesworth, Giovanni Montana. "Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning" | [Home Page] | [PDF]

• Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama. "Classification with Rejection Based on Cost-sensitive Classification" | [Home Page] | [PDF]

• Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jacob Varley, Alex Irpan, Benjamin Eysenbach, Ryan C Julian, Chelsea Finn, Sergey Levine. "Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills" | [Home Page] | [PDF]

• Xu Chen. "Unified Robust Semi-Supervised Variational Autoencoder" | [Home Page] | [PDF]

• Boyuan Chen, Pieter Abbeel, Deepak Pathak. "Unsupervised Learning of Visual 3D Keypoints for Control" | [Home Page] | [PDF]

• Rui Chen, Sanjeeb Dash, Tian Gao. "Integer Programming for Causal Structure Learning in the Presence of Latent Variables" | [Home Page] | [PDF]

• Yifang Chen, Simon Du, Kevin Jamieson. "Improved Corruption Robust Algorithms for Episodic Reinforcement Learning" | [Home Page] | [PDF]

• Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei. "Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks" | [Home Page] | [PDF]

• Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves. "Neural Feature Matching in Implicit 3D Representations" | [Home Page] | [PDF]

• Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour. "Decentralized Riemannian Gradient Descent on the Stiefel Manifold" | [Home Page] | [PDF]

• Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang. "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation" | [Home Page] | [PDF]

• Mayee Chen, Karan Goel, Nimit S Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Re. "Mandoline: Model Evaluation under Distribution Shift" | [Home Page] | [PDF]

• Xiaohui Chen, Xu Han, Jiajing Hu, Francisco Ruiz, Liping Liu. "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation" | [Home Page] | [PDF]

• Dian Chen, Hongxin Hu, Qian Wang, Li Yinli, Cong Wang, Chao Shen, Qi Li. "CARTL: Cooperative Adversarially-Robust Transfer Learning" | [Home Page] | [PDF]

• Liyu Chen, Haipeng Luo. "Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case" | [Home Page] | [PDF]

• Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou. "SpreadsheetCoder: Formula Prediction from Semi-structured Context" | [Home Page] | [PDF]

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• Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha. "12-Lead ECG Reconstruction via Koopman Operators" | [Home Page] | [PDF]

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• Florian Graf, Christoph Hofer, Marc Niethammer, Roland Kwitt. "Dissecting Supervised Constrastive Learning" | [Home Page] | [PDF]

• Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris Maddison. "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions" | [Home Page] | [PDF]

• Ido Greenberg, Shie Mannor. "Detecting Rewards Deterioration in Episodic Reinforcement Learning" | [Home Page] | [PDF]

• Jiaqi Gu, Guosheng Yin. "Crystallization Learning with the Delaunay Triangulation" | [Home Page] | [PDF]

• Chaoyu Guan, Xin Wang, Wenwu Zhu. "AutoAttend: Automated Attention Representation Search" | [Home Page] | [PDF]

• Limor Gultchin, David Watson, Matt Kusner, Ricardo Silva. "Operationalizing Complex Causes: A Pragmatic View of Mediation" | [Home Page] | [PDF]

• Sergey Guminov, Pavel Dvurechensky, Nazarii Tupitsa, Alexander Gasnikov. "On a Combination of Alternating Minimization and Nesterov’s Momentum" | [Home Page] | [PDF]

• Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang. "Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games" | [Home Page] | [PDF]

• Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing. "Adversarial Policy Learning in Two-player Competitive Games" | [Home Page] | [PDF]

• Zongyu Guo, Zhizheng Zhang, Runsen Feng, Zhibo Chen. "Soft then Hard: Rethinking the Quantization in Neural Image Compression" | [Home Page] | [PDF]

• Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson. "UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Chirag Gupta, Aaditya Ramdas. "Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting" | [Home Page] | [PDF]

• Shantanu Gupta, Hao Wang, Zachary Lipton, Yuyang Wang. "Correcting Exposure Bias for Link Recommendation" | [Home Page] | [PDF]

• Mert Gurbuzbalaban, Umut Simsekli, Lingjiong Zhu. "The Heavy-Tail Phenomenon in SGD" | [Home Page] | [PDF]

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• Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvari, Mengdi Wang. "Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient" | [Home Page] | [PDF]

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• Jakob D. Drachmann Havtorn, Jes Frellsen, Soren Hauberg, Lars Maaløe. "Hierarchical VAEs Know What They Don’t Know" | [Home Page] | [PDF]

• Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh. "Defense against backdoor attacks via robust covariance estimation" | [Home Page] | [PDF]

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• Yuhang He, Niki Trigoni, Andrew Markham. "SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform" | [Home Page] | [PDF]

• Jiafan He, Dongruo Zhou, Quanquan Gu. "Logarithmic Regret for Reinforcement Learning with Linear Function Approximation" | [Home Page] | [PDF]

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• Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphael Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin. "Hyperparameter Selection for Imitation Learning" | [Home Page] | [PDF]

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• Maximilian Ilse, Jakub M Tomczak, Patrick Forré. "Selecting Data Augmentation for Simulating Interventions" | [Home Page] | [PDF]

• Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Khan Mohammad Emtiyaz. "Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning" | [Home Page] | [PDF]

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• Rustem Islamov, Xun Qian, Peter Richtarik. "Distributed Second Order Methods with Fast Rates and Compressed Communication" | [Home Page] | [PDF]

• Pavel Izmailov, Sharad Vikram, Matthew D Hoffman, Andrew Gordon Gordon Wilson. "What Are Bayesian Neural Network Posteriors Really Like?" | [Home Page] | [PDF]

• Zachary Izzo, Lexing Ying, James Zou. "How to Learn when Data Reacts to Your Model: Performative Gradient Descent" | [Home Page] | [PDF]

• Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, Joao Carreira. "Perceiver: General Perception with Iterative Attention" | [Home Page] | [PDF]

• Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne. "Imitation by Predicting Observations" | [Home Page] | [PDF]

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• Ayush Jain, Alon Orlitsky. "Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free" | [Home Page] | [PDF]

• Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price. "Instance-Optimal Compressed Sensing via Posterior Sampling" | [Home Page] | [PDF]

• Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price. "Fairness for Image Generation with Uncertain Sensitive Attributes" | [Home Page] | [PDF]

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• Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang. "Improved Regret Bounds of Bilinear Bandits using Action Space Analysis" | [Home Page] | [PDF]

• Daniel Jarrett, Alihan Hüyük, Mihaela Van Der Schaar. "Inverse Decision Modeling: Learning Interpretable Representations of Behavior" | [Home Page] | [PDF]

• Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo B Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J Geras. "Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization" | [Home Page] | [PDF]

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• Rajesh Jayaram, Alireza Samadian, David Woodruff, Peng Ye. "In-Database Regression in Input Sparsity Time" | [Home Page] | [PDF]

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• Taewon Jeong, Heeyoung Kim. "Objective Bound Conditional Gaussian Process for Bayesian Optimization" | [Home Page] | [PDF]

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• Haotian Jiang, Zhong Li, Qianxiao Li. "Approximation Theory of Convolutional Architectures for Time Series Modelling" | [Home Page] | [PDF]

• Shuli Jiang, Dennis Li, Irene Mengze Li, Arvind V Mahankali, David Woodruff. "Streaming and Distributed Algorithms for Robust Column Subset Selection" | [Home Page] | [PDF]

• Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David Woodruff. "Single Pass Entrywise-Transformed Low Rank Approximation" | [Home Page] | [PDF]

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• Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu. "MOTS: Minimax Optimal Thompson Sampling" | [Home Page] | [PDF]

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• Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li. "Adversarial Option-Aware Hierarchical Imitation Learning" | [Home Page] | [PDF]

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• Matt Jordan, Alex Dimakis. "Provable Lipschitz Certification for Generative Models" | [Home Page] | [PDF]

• Martin Jørgensen, Soren Hauberg. "Isometric Gaussian Process Latent Variable Model for Dissimilarity Data" | [Home Page] | [PDF]

• Peizhong Ju, Xiaojun Lin, Ness Shroff. "On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models" | [Home Page] | [PDF]

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• Yonghan Jung, Jin Tian, Elias Bareinboim. "Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning" | [Home Page] | [PDF]

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• Peter Kairouz, Ziyu Liu, Thomas Steinke. "The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation" | [Home Page] | [PDF]

• Peter Kairouz, Brendan Mcmahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu. "Practical and Private (Deep) Learning Without Sampling or Shuffling" | [Home Page] | [PDF]

• Hiroshi Kajino. "A Differentiable Point Process with Its Application to Spiking Neural Networks" | [Home Page] | [PDF]

• Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth Clarkson. "Projection techniques to update the truncated SVD of evolving matrices with applications" | [Home Page] | [PDF]

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• Angeliki Kamoutsi, Goran Banjac, John Lygeros. "Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations" | [Home Page] | [PDF]

• Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis. "Statistical Estimation from Dependent Data" | [Home Page] | [PDF]

• Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Gordon Wilson. "SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes" | [Home Page] | [PDF]

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• Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas. "Off-Policy Confidence Sequences" | [Home Page] | [PDF]

• Sai Praneeth Karimireddy, Lie He, Martin Jaggi. "Learning from History for Byzantine Robust Optimization" | [Home Page] | [PDF]

• Masahiro Kato, Takeshi Teshima. "Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation" | [Home Page] | [PDF]

• Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson. "Improved Algorithms for Agnostic Pool-based Active Classification" | [Home Page] | [PDF]

• Yigitcan Kaya, Tudor Dumitras. "When Does Data Augmentation Help With Membership Inference Attacks?" | [Home Page] | [PDF]

• Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi. "Regularized Submodular Maximization at Scale" | [Home Page] | [PDF]

• Varun A Kelkar, Mark Anastasio. "Prior Image-Constrained Reconstruction using Style-Based Generative Models" | [Home Page] | [PDF]

• Thomas A Keller, Jorn W.T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling. "Self Normalizing Flows" | [Home Page] | [PDF]

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• Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien, Damien Scieur. "Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets" | [Home Page] | [PDF]

• David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson. "Markpainting: Adversarial Machine Learning meets Inpainting" | [Home Page] | [PDF]

• Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri. "Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm" | [Home Page] | [PDF]

• Valentin Khrulkov, Artem Babenko, Ivan Oseledets. "Functional Space Analysis of Local GAN Convergence" | [Home Page] | [PDF]

• Patrick Kidger, Ricky T. Q. Chen, Terry J Lyons. ""Hey, that’s not an ODE": Faster ODE Adjoints via Seminorms" | [Home Page] | [PDF]

• Patrick Kidger, James Foster, Xuechen Li, Terry J Lyons. "Neural SDEs as Infinite-Dimensional GANs" | [Home Page] | [PDF]

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• Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin. "Self-Improved Retrosynthetic Planning" | [Home Page] | [PDF]

• Kuno Kim, Shivam Garg, Kirankumar Shiragur, Stefano Ermon. "Reward Identification in Inverse Reinforcement Learning" | [Home Page] | [PDF]

• Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer. "I-BERT: Integer-only BERT Quantization" | [Home Page] | [PDF]

• Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J Lim, Byoung-Tak Zhang. "Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning" | [Home Page] | [PDF]

• Jaehyeon Kim, Jungil Kong, Juhee Son. "Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech" | [Home Page] | [PDF]

• Dong Ki Kim, Miao Liu, Matthew D Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan How. "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" | [Home Page] | [PDF]

• Timothy D Kim, Thomas Z Luo, Jonathan W Pillow, Carlos Brody. "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations" | [Home Page] | [PDF]

• Hyunjik Kim, George Papamakarios, Andriy Mnih. "The Lipschitz Constant of Self-Attention" | [Home Page] | [PDF]

• Jaekyeom Kim, Seohong Park, Gunhee Kim. "Unsupervised Skill Discovery with Bottleneck Option Learning" | [Home Page] | [PDF]

• Wonjae Kim, Bokyung Son, Ildoo Kim. "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision" | [Home Page] | [PDF]

• Johannes Kirschner, Andreas Krause. "Bias-Robust Bayesian Optimization via Dueling Bandits" | [Home Page] | [PDF]

• Dani Kiyasseh, Tingting Zhu, David A Clifton. "CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients" | [Home Page] | [PDF]

• Johannes Klicpera, Marten Lienen, Stephan Günnemann. "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" | [Home Page] | [PDF]

• Frederic Koehler, Viraj Mehta, Andrej Risteski. "Representational aspects of depth and conditioning in normalizing flows" | [Home Page] | [PDF]

• Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran Haque, Sara M Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang. "WILDS: A Benchmark of in-the-Wild Distribution Shifts" | [Home Page] | [PDF]

• Vladimir Kolmogorov, Thomas Pock. "One-sided Frank-Wolfe algorithms for saddle problems" | [Home Page] | [PDF]

• Abi Komanduru, Jean Honorio. "A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning" | [Home Page] | [PDF]

• Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian Stich. "Consensus Control for Decentralized Deep Learning" | [Home Page] | [PDF]

• Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvari. "A Distribution-dependent Analysis of Meta Learning" | [Home Page] | [PDF]

• Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann. "Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?" | [Home Page] | [PDF]

• Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin. "Kernel Stein Discrepancy Descent" | [Home Page] | [PDF]

• Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak. "Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size" | [Home Page] | [PDF]

• Adam R Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokra, Danilo Jimenez Rezende. "NeRF-VAE: A Geometry Aware 3D Scene Generative Model" | [Home Page] | [PDF]

• Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth. "Active Testing: Sample-Efficient Model Evaluation" | [Home Page] | [PDF]

• James Kostas, Yash Chandak, Scott M Jordan, Georgios Theocharous, Philip Thomas. "High Confidence Generalization for Reinforcement Learning" | [Home Page] | [PDF]

• Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum. "Offline Reinforcement Learning with Fisher Divergence Critic Regularization" | [Home Page] | [PDF]

• Dmitry Kovalev, Egor Shulgin, Peter Richtarik, Alexander V Rogozin, Alexander Gasnikov. "ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks" | [Home Page] | [PDF]

• Tadashi Kozuno, Yunhao Tang, Mark Rowland, Remi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel. "Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning" | [Home Page] | [PDF]

• Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey. "Adapting to misspecification in contextual bandits with offline regression oracles" | [Home Page] | [PDF]

• David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Remi Le Priol, Aaron Courville. "Out-of-Distribution Generalization via Risk Extrapolation (REx)" | [Home Page] | [PDF]

• Arun K Kuchibhotla, Qinqing Zheng. "Near-Optimal Confidence Sequences for Bounded Random Variables" | [Home Page] | [PDF]

• Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela. "Differentially Private Bayesian Inference for Generalized Linear Models" | [Home Page] | [PDF]

• Abhishek Kumar, Sunabha Chatterjee, Piyush Rai. "Bayesian Structural Adaptation for Continual Learning" | [Home Page] | [PDF]

• Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter. "Implicit rate-constrained optimization of non-decomposable objectives" | [Home Page] | [PDF]

• Christian Kümmerle, Claudio M. Verdun. "A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples" | [Home Page] | [PDF]

• Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari. "Meta-Thompson Sampling" | [Home Page] | [PDF]

• Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh. "Targeted Data Acquisition for Evolving Negotiation Agents" | [Home Page] | [PDF]

• Jungmin Kwon, Jeongseop Kim, Hyunseo Park, In Kwon Choi. "ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks" | [Home Page] | [PDF]

• Eduardo S Laber, Lucas Murtinho. "On the price of explainability for some clustering problems" | [Home Page] | [PDF]

• Jonathan Lacotte, Yifei Wang, Mert Pilanci. "Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality" | [Home Page] | [PDF]

• Pierre Laforgue, Guillaume Staerman, Stephan Clémençon. "Generalization Bounds in the Presence of Outliers: a Median-of-Means Study" | [Home Page] | [PDF]

• Thanh Chi Lam, Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet. "Model Fusion for Personalized Learning" | [Home Page] | [PDF]

• Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher. "Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix" | [Home Page] | [PDF]

• Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour. "Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions" | [Home Page] | [PDF]

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• Jan-Hendrik Lange, Paul Swoboda. "Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams" | [Home Page] | [PDF]

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• Dong Hoon Lee, Sae-Young Chung. "Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification" | [Home Page] | [PDF]

• Sebastian Lee, Sebastian Goldt, Andrew Saxe. "Continual Learning in the Teacher-Student Setup: Impact of Task Similarity" | [Home Page] | [PDF]

• Jongmin Lee, Wonseok Jeon, Byungjun Lee, Joelle Pineau, Kee-Eung Kim. "OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation" | [Home Page] | [PDF]

• Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel. "SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning" | [Home Page] | [PDF]

• Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang. "Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously" | [Home Page] | [PDF]

• Kimin Lee, Laura M Smith, Pieter Abbeel. "PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training" | [Home Page] | [PDF]

• Qi Lei, Wei Hu, Jason Lee. "Near-Optimal Linear Regression under Distribution Shift" | [Home Page] | [PDF]

• Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying. "Stability and Generalization of Stochastic Gradient Methods for Minimax Problems" | [Home Page] | [PDF]

• Joel Z Leibo, Edgar A Dueñez-Guzman, Alexander Vezhnevets, John P Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel. "Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot" | [Home Page] | [PDF]

• Benedict Leimkuhler, Tiffany J Vlaar, Timothée Pouchon, Amos Storkey. "Better Training using Weight-Constrained Stochastic Dynamics" | [Home Page] | [PDF]

• Klas Leino, Zifan Wang, Matt Fredrikson. "Globally-Robust Neural Networks" | [Home Page] | [PDF]

• Renato Paes Leme, Balasubramanian Sivan, Yifeng Teng, Pratik Worah. "Learning to Price Against a Moving Target" | [Home Page] | [PDF]

• Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J Lyons. "SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data" | [Home Page] | [PDF]

• Sagi Levanon, Nir Rosenfeld. "Strategic Classification Made Practical" | [Home Page] | [PDF]

• Alexander J Levine, Soheil Feizi. "Improved, Deterministic Smoothing for L_1 Certified Robustness" | [Home Page] | [PDF]

• Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer. "BASE Layers: Simplifying Training of Large, Sparse Models" | [Home Page] | [PDF]

• Jose Lezama, Wei Chen, Qiang Qiu. "Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models" | [Home Page] | [PDF]

• Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtarik. "PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization" | [Home Page] | [PDF]

• Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi. "Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning" | [Home Page] | [PDF]

• Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang. "Winograd Algorithm for AdderNet" | [Home Page] | [PDF]

• Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu. "A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration" | [Home Page] | [PDF]

• Xiling Li, Rafael Dowsley, Martine De Cock. "Privacy-Preserving Feature Selection with Secure Multiparty Computation" | [Home Page] | [PDF]

• Gen Li, Yuantao Gu. "Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph" | [Home Page] | [PDF]

• Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H Pong, Aurick Zhou, Justin Yu, Sergey Levine. "MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning" | [Home Page] | [PDF]

• Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith. "Ditto: Fair and Robust Federated Learning Through Personalization" | [Home Page] | [PDF]

• Xiaoyun Li, Ping Li. "Quantization Algorithms for Random Fourier Features" | [Home Page] | [PDF]

• Bo Li, Lijun Li, Ankang Sun, Chenhao Wang, Yingfan Wang. "Approximate Group Fairness for Clustering" | [Home Page] | [PDF]

• Shaojie Li, Yong Liu. "Sharper Generalization Bounds for Clustering" | [Home Page] | [PDF]

• Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama. "Provably End-to-end Label-noise Learning without Anchor Points" | [Home Page] | [PDF]

• Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park. "A Novel Method to Solve Neural Knapsack Problems" | [Home Page] | [PDF]

• Haoran Li, Wei Lu. "Mixed Cross Entropy Loss for Neural Machine Translation" | [Home Page] | [PDF]

• Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun. "Training Graph Neural Networks with 1000 Layers" | [Home Page] | [PDF]

• Yang Li, Junier Oliva. "Active Feature Acquisition with Generative Surrogate Models" | [Home Page] | [PDF]

• Yang Li, Junier Oliva. "Partially Observed Exchangeable Modeling" | [Home Page] | [PDF]

• Zhong Li, Minxue Pan, Tian Zhang, Xuandong Li. "Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions" | [Home Page] | [PDF]

• Xiaocheng Li, Chunlin Sun, Yinyu Ye. "The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks" | [Home Page] | [PDF]

• Mengmeng Li, Tobias Sutter, Daniel Kuhn. "Distributionally Robust Optimization with Markovian Data" | [Home Page] | [PDF]

• Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang. "Communication-Efficient Distributed SVD via Local Power Iterations" | [Home Page] | [PDF]

• Bo Li, Qili Wang, Gim Hee Lee. "FILTRA: Rethinking Steerable CNN by Filter Transform" | [Home Page] | [PDF]

• Shi Li, Jiayi Xian. "Online Unrelated Machine Load Balancing with Predictions Revisited" | [Home Page] | [PDF]

• Zeng Li, Chuanlong Xie, Qinwen Wang. "Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator" | [Home Page] | [PDF]

• Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica. "TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models" | [Home Page] | [PDF]

• Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona. "A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance" | [Home Page] | [PDF]

• Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, Ruslan Salakhutdinov. "Towards Understanding and Mitigating Social Biases in Language Models" | [Home Page] | [PDF]

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• Tung-Che Liang, Jin Zhou, Yun-Sheng Chan, Tsung-Yi Ho, Krishnendu Chakrabarty, Cy Lee. "Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov. "Information Obfuscation of Graph Neural Networks" | [Home Page] | [PDF]

• Gabriele Libardi, Gianni De Fabritiis, Sebastian Dittert. "Guided Exploration with Proximal Policy Optimization using a Single Demonstration" | [Home Page] | [PDF]

• Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Q Davis, Adrian Weller. "Debiasing a First-order Heuristic for Approximate Bi-level Optimization" | [Home Page] | [PDF]

• Chi-Heng Lin, Mehdi Azabou, Eva Dyer. "Making transport more robust and interpretable by moving data through a small number of anchor points" | [Home Page] | [PDF]

• Xiang Lin, Simeng Han, Shafiq Joty. "Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation" | [Home Page] | [PDF]

• Tao Lin, Sai Praneeth Karimireddy, Sebastian Stich, Martin Jaggi. "Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data" | [Home Page] | [PDF]

• Wanyu Lin, Hao Lan, Baochun Li. "Generative Causal Explanations for Graph Neural Networks" | [Home Page] | [PDF]

• Wu Lin, Frank Nielsen, Khan Mohammad Emtiyaz, Mark Schmidt. "Tractable structured natural-gradient descent using local parameterizations" | [Home Page] | [PDF]

• Dominik Linzner, Heinz Koeppl. "Active Learning of Continuous-time Bayesian Networks through Interventions" | [Home Page] | [PDF]

• Yaron Lipman. "Phase Transitions, Distance Functions, and Implicit Neural Representations" | [Home Page] | [PDF]

• Florian List. "The Earth Mover’s Pinball Loss: Quantiles for Histogram-Valued Regression" | [Home Page] | [PDF]

• Yang Liu. "Understanding Instance-Level Label Noise: Disparate Impacts and Treatments" | [Home Page] | [PDF]

• Hao Liu, Pieter Abbeel. "APS: Active Pretraining with Successor Features" | [Home Page] | [PDF]

• Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue. "Learning by Turning: Neural Architecture Aware Optimisation" | [Home Page] | [PDF]

• Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou. "Dynamic Game Theoretic Neural Optimizer" | [Home Page] | [PDF]

• Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao. "Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks" | [Home Page] | [PDF]

• Evan Z Liu, Behzad Haghgoo, Annie S Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn. "Just Train Twice: Improving Group Robustness without Training Group Information" | [Home Page] | [PDF]

• Siqi Liu, Milos Hauskrecht. "Event Outlier Detection in Continuous Time" | [Home Page] | [PDF]

• Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen. "Heterogeneous Risk Minimization" | [Home Page] | [PDF]

• Linfeng Liu, Michael C Hughes, Soha Hassoun, Liping Liu. "Stochastic Iterative Graph Matching" | [Home Page] | [PDF]

• Iou-Jen Liu, Unnat Jain, Raymond A Yeh, Alexander Schwing. "Cooperative Exploration for Multi-Agent Deep Reinforcement Learning" | [Home Page] | [PDF]

• Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang. "Elastic Graph Neural Networks" | [Home Page] | [PDF]

• Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu. "One Pass Late Fusion Multi-view Clustering" | [Home Page] | [PDF]

• Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar. "Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition" | [Home Page] | [PDF]

• Yiwei Liu, Jiamou Liu, Kaibin Wan, Zhan Qin, Zijian Zhang, Bakhadyr Khoussainov, Liehuang Zhu. "From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments" | [Home Page] | [PDF]

• Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang. "A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization" | [Home Page] | [PDF]

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• Yuhan Liu, Shiliang Sun. "SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis" | [Home Page] | [PDF]

• Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou. "Learning Deep Neural Networks under Agnostic Corrupted Supervision" | [Home Page] | [PDF]

• Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, Steven Wu. "Leveraging Public Data for Practical Private Query Release" | [Home Page] | [PDF]

• Hanwen Liu, Zhenyu Weng, Yuesheng Zhu. "Watermarking Deep Neural Networks with Greedy Residuals" | [Home Page] | [PDF]

• Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy. "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" | [Home Page] | [PDF]

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• Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang. "Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?" | [Home Page] | [PDF]

• Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang. "Group Fisher Pruning for Practical Network Compression" | [Home Page] | [PDF]

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• Kangqiao Liu, Liu Ziyin, Masahito Ueda. "Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent" | [Home Page] | [PDF]

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• Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble. "DANCE: Enhancing saliency maps using decoys" | [Home Page] | [PDF]

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• Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster. "Variance Reduced Training with Stratified Sampling for Forecasting Models" | [Home Page] | [PDF]

• Yang Young Lu, Timothy C Yu, Giancarlo Bonora, William Stafford Noble. "ACE: Explaining cluster from an adversarial perspective" | [Home Page] | [PDF]

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• Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou. "Learning Stochastic Behaviour from Aggregate Data" | [Home Page] | [PDF]

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• Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar. "Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs" | [Home Page] | [PDF]

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• Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt Kusner, Arthur Gretton, Krikamol Muandet. "Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction" | [Home Page] | [PDF]

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• Shyam Narayanan, Sandeep Silwal, Piotr Indyk, Or Zamir. "Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering" | [Home Page] | [PDF]

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• Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou. "LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs" | [Home Page] | [PDF]

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• Chence Shi, Shitong Luo, Minkai Xu, Jian Tang. "Learning Gradient Fields for Molecular Conformation Generation" | [Home Page] | [PDF]

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• Mateusz Wilinski, Andrey Lokhov. "Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations" | [Home Page] | [PDF]

• Catherine Wong, Kevin M Ellis, Joshua Tenenbaum, Jacob Andreas. "Leveraging Language to Learn Program Abstractions and Search Heuristics" | [Home Page] | [PDF]

• Eric Wong, Shibani Santurkar, Aleksander Madry. "Leveraging Sparse Linear Layers for Debuggable Deep Networks" | [Home Page] | [PDF]

• Mitchell Wortsman, Maxwell C Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari. "Learning Neural Network Subspaces" | [Home Page] | [PDF]

• Hao Wu, Babak Esmaeili, Michael Wick, Jean-Baptiste Tristan, Jan-Willem Van De Meent. "Conjugate Energy-Based Models" | [Home Page] | [PDF]

• Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens Van Der Maaten, Kilian Weinberger. "Making Paper Reviewing Robust to Bid Manipulation Attacks" | [Home Page] | [PDF]

• Yuhuai Wu, Markus N Rabe, Wenda Li, Jimmy Ba, Roger B Grosse, Christian Szegedy. "LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning" | [Home Page] | [PDF]

• Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi. "ChaCha for Online AutoML" | [Home Page] | [PDF]

• Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu. "Temporally Correlated Task Scheduling for Sequence Learning" | [Home Page] | [PDF]

• Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu. "Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels" | [Home Page] | [PDF]

• Tianhao Wu, Yunchang Yang, Simon Du, Liwei Wang. "On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP" | [Home Page] | [PDF]

• Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn. "Generative Video Transformer: Can Objects be the Words?" | [Home Page] | [PDF]

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• Shengzhou Xiong, Yihua Tan, Guoyou Wang. "Explore Visual Concept Formation for Image Classification" | [Home Page] | [PDF]

• Tengyu Xu, Yingbin Liang, Guanghui Lan. "CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee" | [Home Page] | [PDF]

• Han Xu, Xiaorui Liu, Yaxin Li, Anil Jain, Jiliang Tang. "To be Robust or to be Fair: Towards Fairness in Adversarial Training" | [Home Page] | [PDF]

• Wenkai Xu, Takeru Matsuda. "Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold" | [Home Page] | [PDF]

• Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan. "Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives" | [Home Page] | [PDF]

• Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin. "Dash: Semi-Supervised Learning with Dynamic Thresholding" | [Home Page] | [PDF]

• Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang. "An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming" | [Home Page] | [PDF]

• Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang. "Self-supervised Graph-level Representation Learning with Local and Global Structure" | [Home Page] | [PDF]

• Chen Xu, Yao Xie. "Conformal prediction interval for dynamic time-series" | [Home Page] | [PDF]

• Jiaming Xu, Kuang Xu, Dana Yang. "Learner-Private Convex Optimization" | [Home Page] | [PDF]

• Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang. "Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality" | [Home Page] | [PDF]

• Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi. "Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth" | [Home Page] | [PDF]

• Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani. "Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings" | [Home Page] | [PDF]

• Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang. "KNAS: Green Neural Architecture Search" | [Home Page] | [PDF]

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• Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen. "Link Prediction with Persistent Homology: An Interactive View" | [Home Page] | [PDF]

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• Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang. "When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC" | [Home Page] | [PDF]

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• Gilad Yehudai, Ethan Fetaya, Eli Meirom, Gal Chechik, Haggai Maron. "From Local Structures to Size Generalization in Graph Neural Networks" | [Home Page] | [PDF]

• Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma. "Improved OOD Generalization via Adversarial Training and Pretraing" | [Home Page] | [PDF]

• Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl Johansson. "Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints" | [Home Page] | [PDF]

• Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki. "Continuous-time Model-based Reinforcement Learning" | [Home Page] | [PDF]

• Rong Yin, Weiping Wang, Dan Meng. "Distributed Nyström Kernel Learning with Communications" | [Home Page] | [PDF]

• Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki. "Path Planning using Neural A Search"* | [Home Page] | [PDF]

• Jihyeong Yoo, Qifeng Chen. "SinIR: Efficient General Image Manipulation with Single Image Reconstruction" | [Home Page] | [PDF]

• Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi. "Conditional Temporal Neural Processes with Covariance Loss" | [Home Page] | [PDF]

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• Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang. "Federated Continual Learning with Weighted Inter-client Transfer" | [Home Page] | [PDF]

• Sangwoong Yoon, Yung-Kyun Noh, Frank Park. "Autoencoding Under Normalization Constraints" | [Home Page] | [PDF]

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• Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long. "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" | [Home Page] | [PDF]

• Xuchen You, Xiaodi Wu. "Exponentially Many Local Minima in Quantum Neural Networks" | [Home Page] | [PDF]

• Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji. "DAGs with No Curl: An Efficient DAG Structure Learning Approach" | [Home Page] | [PDF]

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• Zhongjie Yu, Fabrizio G Ventola, Kristian Kersting. "Whittle Networks: A Deep Likelihood Model for Time Series" | [Home Page] | [PDF]

• Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li. "Deep Latent Graph Matching" | [Home Page] | [PDF]

• Jiaqian Yu, Jingtao Xu, Yiwei Chen, Weiming Li, Qiang Wang, Byungin Yoo, Jae-Joon Han. "Learning Generalized Intersection Over Union for Dense Pixelwise Prediction" | [Home Page] | [PDF]

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• Honghua Zhang, Brendan Juba, Guy Van Den Broeck. "Probabilistic Generating Circuits" | [Home Page] | [PDF]

• Wanrong Zhang, Gautam Kamath, Rachel Cummings. "PAPRIKA: Private Online False Discovery Rate Control" | [Home Page] | [PDF]

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• Mengyan Zhang, Cheng Soon Ong. "Quantile Bandits for Best Arms Identification" | [Home Page] | [PDF]

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• Lunjun Zhang, Ge Yang, Bradly C Stadie. "World Model as a Graph: Learning Latent Landmarks for Planning" | [Home Page] | [PDF]

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• Bo Zhao, Hakan Bilen. "Dataset Condensation with Differentiable Siamese Augmentation" | [Home Page] | [PDF]

• Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen. "Joining datasets via data augmentation in the label space for neural networks" | [Home Page] | [PDF]

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• Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo. "Few-Shot Neural Architecture Search" | [Home Page] | [PDF]

• Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan. "Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks" | [Home Page] | [PDF]

• Renjie Zheng, Junkun Chen, Mingbo Ma, Liang Huang. "Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation" | [Home Page] | [PDF]

• Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang. "Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination" | [Home Page] | [PDF]

• Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montufar. "How Framelets Enhance Graph Neural Networks" | [Home Page] | [PDF]

• Zixin Zhong, Wang Chi Cheung, Vincent Tan. "Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions" | [Home Page] | [PDF]

• Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang. "Towards Distraction-Robust Active Visual Tracking" | [Home Page] | [PDF]

• Dongruo Zhou, Jiafan He, Quanquan Gu. "Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping" | [Home Page] | [PDF]

• Aurick Zhou, Sergey Levine. "Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation" | [Home Page] | [PDF]

• Fan Zhou, Ping Li. "Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations" | [Home Page] | [PDF]

• Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng. "Incentivized Bandit Learning with Self-Reinforcing User Preferences" | [Home Page] | [PDF]

• Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao. "Towards Defending against Adversarial Examples via Attack-Invariant Features" | [Home Page] | [PDF]

• Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji. "Asymmetric Loss Functions for Learning with Noisy Labels" | [Home Page] | [PDF]

• Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig. "Examining and Combating Spurious Features under Distribution Shift" | [Home Page] | [PDF]

• Mingkang Zhu, Tianlong Chen, Zhangyang Wang. "Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm" | [Home Page] | [PDF]

• Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou. "Data-Free Knowledge Distillation for Heterogeneous Federated Learning" | [Home Page] | [PDF]

• Chunjiang Zhu, Qinqing Liu, Jinbo Bi. "Spectral vertex sparsifiers and pair-wise spanners over distributed graphs" | [Home Page] | [PDF]

• Hao Zhu, Graham Neubig, Yonatan Bisk. "Few-shot Language Coordination by Modeling Theory of Mind" | [Home Page] | [PDF]

• Zhaowei Zhu, Yiwen Song, Yang Liu. "Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels" | [Home Page] | [PDF]

• Xinqi Zhu, Chang Xu, Dacheng Tao. "Commutative Lie Group VAE for Disentanglement Learning" | [Home Page] | [PDF]

• Huiping Zhuang, Zhenyu Weng, Fulin Luo, Toh Kar-Ann, Haizhou Li, Zhiping Lin. "Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks" | [Home Page] | [PDF]

• Dominik Zietlow, Michal Rolinek, Georg Martius. "Demystifying Inductive Biases for (Beta-)VAE Based Architectures" | [Home Page] | [PDF]

• Itamar Zimerman, Eliya Nachmani, Lior Wolf. "Recovering AES Keys with a Deep Cold Boot Attack" | [Home Page] | [PDF]

• Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng. "Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel. "Contrastive Learning Inverts the Data Generating Process" | [Home Page] | [PDF]

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• Difan Zou, Spencer Frei, Quanquan Gu. "Provable Robustness of Adversarial Training for Learning Halfspaces with Noise" | [Home Page] | [PDF]

• Difan Zou, Quanquan Gu. "On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients" | [Home Page] | [PDF]

• Aaron Zweig, Joan Bruna. "A Functional Perspective on Learning Symmetric Functions with Neural Networks" | [Home Page] | [PDF]