icml2017.md

ICML2017

• Massil Achab, Emmanuel Bacry, Stéphane Gaı̈ffas, Iacopo Mastromatteo, Jean-François Muzy. "Uncovering Causality from Multivariate Hawkes Integrated Cumulants" | [Home Page] | [PDF]

• Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Theertha Suresh. "A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions" | [Home Page] | [PDF]

• Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel. "Constrained Policy Optimization" | [Home Page] | [PDF]

• Naman Agarwal, Karan Singh. "The Price of Differential Privacy for Online Learning" | [Home Page] | [PDF]

• Riad Akrour, Dmitry Sorokin, Jan Peters, Gerhard Neumann. "Local Bayesian Optimization of Motor Skills" | [Home Page] | [PDF]

• Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama. "Connected Subgraph Detection with Mirror Descent on SDPs" | [Home Page] | [PDF]

• Ahmed M. Alaa, Scott Hu, Mihaela Schaar. "Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis" | [Home Page] | [PDF]

• Alnur Ali, Eric Wong, J. Zico Kolter. "A Semismooth Newton Method for Fast, Generic Convex Programming" | [Home Page] | [PDF]

• Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton. "Learning Continuous Semantic Representations of Symbolic Expressions" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu. "Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yuanzhi Li. "Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yuanzhi Li. "Faster Principal Component Regression and Stable Matrix Chebyshev Approximation" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yuanzhi Li. "Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang. "Near-Optimal Design of Experiments via Regret Minimization" | [Home Page] | [PDF]

• Brandon Amos, J. Zico Kolter. "OptNet: Differentiable Optimization as a Layer in Neural Networks" | [Home Page] | [PDF]

• Brandon Amos, Lei Xu, J. Zico Kolter. "Input Convex Neural Networks" | [Home Page] | [PDF]

• David Anderson, Ming Gu. "An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation" | [Home Page] | [PDF]

• Jacob Andreas, Dan Klein, Sergey Levine. "Modular Multitask Reinforcement Learning with Policy Sketches" | [Home Page] | [PDF]

• Oron Anschel, Nir Baram, Nahum Shimkin. "Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning" | [Home Page] | [PDF]

• Ron Appel, Pietro Perona. "A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency" | [Home Page] | [PDF]

• Sercan Ö. Arık, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi. "Deep Voice: Real-time Neural Text-to-Speech" | [Home Page] | [PDF]

• Yossi Arjevani, Ohad Shamir. "Oracle Complexity of Second-Order Methods for Finite-Sum Problems" | [Home Page] | [PDF]

• Martin Arjovsky, Soumith Chintala, Léon Bottou. "Wasserstein Generative Adversarial Networks" | [Home Page] | [PDF]

• Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang. "Generalization and Equilibrium in Generative Adversarial Nets (GANs)" | [Home Page] | [PDF]

• Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, Simon Lacoste-Julien. "A Closer Look at Memorization in Deep Networks" | [Home Page] | [PDF]

• Kavosh Asadi, Michael L. Littman. "An Alternative Softmax Operator for Reinforcement Learning" | [Home Page] | [PDF]

• Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh. "Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees" | [Home Page] | [PDF]

• Mohammad Gheshlaghi Azar, Ian Osband, Rémi Munos. "Minimax Regret Bounds for Reinforcement Learning" | [Home Page] | [PDF]

• Stephen H. Bach, Bryan He, Alexander Ratner, Christopher Ré. "Learning the Structure of Generative Models without Labeled Data" | [Home Page] | [PDF]

• Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause. "Uniform Deviation Bounds for k-Means Clustering" | [Home Page] | [PDF]

• Olivier Bachem, Mario Lucic, Andreas Krause. "Distributed and Provably Good Seedings for k-Means in Constant Rounds" | [Home Page] | [PDF]

• Philip Bachman, Alessandro Sordoni, Adam Trischler. "Learning Algorithms for Active Learning" | [Home Page] | [PDF]

• Arturs Backurs, Christos Tzamos. "Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms" | [Home Page] | [PDF]

• Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang. "Differentially Private Clustering in High-Dimensional Euclidean Spaces" | [Home Page] | [PDF]

• David Balduzzi. "Strongly-Typed Agents are Guaranteed to Interact Safely" | [Home Page] | [PDF]

• David Balduzzi, Marcus Frean, Lennox Leary, J. P. Lewis, Kurt Wan-Duo Ma, Brian McWilliams. "The Shattered Gradients Problem: If resnets are the answer, then what is the question?" | [Home Page] | [PDF]

• David Balduzzi, Brian McWilliams, Tony Butler-Yeoman. "Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks" | [Home Page] | [PDF]

• Borja Balle, Odalric-Ambrym Maillard. "Spectral Learning from a Single Trajectory under Finite-State Policies" | [Home Page] | [PDF]

• Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller. "Lost Relatives of the Gumbel Trick" | [Home Page] | [PDF]

• Robert Bamler, Stephan Mandt. "Dynamic Word Embeddings" | [Home Page] | [PDF]

• Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor. "End-to-End Differentiable Adversarial Imitation Learning" | [Home Page] | [PDF]

• Andreas Bärmann, Sebastian Pokutta, Oskar Schneider. "Emulating the Expert: Inverse Optimization through Online Learning" | [Home Page] | [PDF]

• Christopher Beckham, Christopher Pal. "Unimodal Probability Distributions for Deep Ordinal Classification" | [Home Page] | [PDF]

• Jean-Michel Begon, Arnaud Joly, Pierre Geurts. "Globally Induced Forest: A Prepruning Compression Scheme" | [Home Page] | [PDF]

• David Belanger, Bishan Yang, Andrew McCallum. "End-to-End Learning for Structured Prediction Energy Networks" | [Home Page] | [PDF]

• Eugene Belilovsky, Kyle Kastner, Gael Varoquaux, Matthew B. Blaschko. "Learning to Discover Sparse Graphical Models" | [Home Page] | [PDF]

• Marc G. Bellemare, Will Dabney, Rémi Munos. "A Distributional Perspective on Reinforcement Learning" | [Home Page] | [PDF]

• Irwan Bello, Barret Zoph, Vijay Vasudevan, Quoc V. Le. "Neural Optimizer Search with Reinforcement Learning" | [Home Page] | [PDF]

• Urs Bergmann, Nikolay Jetchev, Roland Vollgraf. "Learning Texture Manifolds with the Periodic Spatial GAN" | [Home Page] | [PDF]

• Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau. "Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models" | [Home Page] | [PDF]

• Alina Beygelzimer, Francesco Orabona, Chicheng Zhang. "Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret" | [Home Page] | [PDF]

• Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek. "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" | [Home Page] | [PDF]

• Ilija Bogunovic, Slobodan Mitrović, Jonathan Scarlett, Volkan Cevher. "Robust Submodular Maximization: A Non-Uniform Partitioning Approach" | [Home Page] | [PDF]

• Piotr Bojanowski, Armand Joulin. "Unsupervised Learning by Predicting Noise" | [Home Page] | [PDF]

• Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama. "Adaptive Neural Networks for Efficient Inference" | [Home Page] | [PDF]

• Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis. "Compressed Sensing using Generative Models" | [Home Page] | [PDF]

• Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel. "Programming with a Differentiable Forth Interpreter" | [Home Page] | [PDF]

• Aleksandar Botev, Hippolyt Ritter, David Barber. "Practical Gauss-Newton Optimisation for Deep Learning" | [Home Page] | [PDF]

• Gábor Braun, Sebastian Pokutta, Daniel Zink. "Lazifying Conditional Gradient Algorithms" | [Home Page] | [PDF]

• Vladimir Braverman, Gereon Frahling, Harry Lang, Christian Sohler, Lin F. Yang. "Clustering High Dimensional Dynamic Data Streams" | [Home Page] | [PDF]

• François-Xavier Briol, Chris J. Oates, Jon Cockayne, Wilson Ye Chen, Mark Girolami. "On the Sampling Problem for Kernel Quadrature" | [Home Page] | [PDF]

• Noam Brown, Tuomas Sandholm. "Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning" | [Home Page] | [PDF]

• Alon Brutzkus, Amir Globerson. "Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs" | [Home Page] | [PDF]

• David Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit. "Deep Tensor Convolution on Multicores" | [Home Page] | [PDF]

• Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor. "Multi-objective Bandits: Optimizing the Generalized Gini Index" | [Home Page] | [PDF]

• Bryan Cai, Constantinos Daskalakis, Gautam Kamath. "Priv’IT: Private and Sample Efficient Identity Testing" | [Home Page] | [PDF]

• Daniele Calandriello, Alessandro Lazaric, Michal Valko. "Second-Order Kernel Online Convex Optimization with Adaptive Sketching" | [Home Page] | [PDF]

• Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford. "“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions" | [Home Page] | [PDF]

• Mathieu Carrière, Marco Cuturi, Steve Oudot. "Sliced Wasserstein Kernel for Persistence Diagrams" | [Home Page] | [PDF]

• Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy. "Multiple Clustering Views from Multiple Uncertain Experts" | [Home Page] | [PDF]

• Aditya Chaudhry, Pan Xu, Quanquan Gu. "Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference" | [Home Page] | [PDF]

• Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan. "Active Heteroscedastic Regression" | [Home Page] | [PDF]

• Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav Sukhatme, Stefan Schaal, Sergey Levine. "Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning" | [Home Page] | [PDF]

• Sheng Chen, Arindam Banerjee. "Robust Structured Estimation with Single-Index Models" | [Home Page] | [PDF]

• Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou. "Adaptive Multiple-Arm Identification" | [Home Page] | [PDF]

• Bangrui Chen, Peter I. Frazier. "Dueling Bandits with Weak Regret" | [Home Page] | [PDF]

• Yichen Chen, Dongdong Ge, Mengdi Wang, Zizhuo Wang, Yinyu Ye, Hao Yin. "Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions" | [Home Page] | [PDF]

• Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando Freitas. "Learning to Learn without Gradient Descent by Gradient Descent" | [Home Page] | [PDF]

• Bryant Chen, Daniel Kumor, Elias Bareinboim. "Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables" | [Home Page] | [PDF]

• Xixian Chen, Michael R. Lyu, Irwin King. "Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data" | [Home Page] | [PDF]

• Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao. "Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability" | [Home Page] | [PDF]

• Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng Ann Heng. "Learning to Aggregate Ordinal Labels by Maximizing Separating Width" | [Home Page] | [PDF]

• Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain. "Nearly Optimal Robust Matrix Completion" | [Home Page] | [PDF]

• Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, David P. Woodruff. "Algorithms for $\ell_p$ Low-Rank Approximation" | [Home Page] | [PDF]

• Minsik Cho, Daniel Brand. "MEC: Memory-efficient Convolution for Deep Neural Network" | [Home Page] | [PDF]

• Arthur Choi, Adnan Darwiche. "On Relaxing Determinism in Arithmetic Circuits" | [Home Page] | [PDF]

• Po-Wei Chou, Daniel Maturana, Sebastian Scherer. "Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution" | [Home Page] | [PDF]

• Sayak Ray Chowdhury, Aditya Gopalan. "On Kernelized Multi-armed Bandits" | [Home Page] | [PDF]

• Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, Nicolas Usunier. "Parseval Networks: Improving Robustness to Adversarial Examples" | [Home Page] | [PDF]

• Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou. "Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC" | [Home Page] | [PDF]

• Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang. "AdaNet: Adaptive Structural Learning of Artificial Neural Networks" | [Home Page] | [PDF]

• Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone. "Random Feature Expansions for Deep Gaussian Processes" | [Home Page] | [PDF]

• Marco Cuturi, Mathieu Blondel. "Soft-DTW: a Differentiable Loss Function for Time-Series" | [Home Page] | [PDF]

• Wojciech Marian Czarnecki, Grzegorz Świrszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu. "Understanding Synthetic Gradients and Decoupled Neural Interfaces" | [Home Page] | [PDF]

• Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song. "Stochastic Generative Hashing" | [Home Page] | [PDF]

• Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro. "Logarithmic Time One-Against-Some" | [Home Page] | [PDF]

• Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier. "Language Modeling with Gated Convolutional Networks" | [Home Page] | [PDF]

• Colin Reimer Dawson, Chaofan Huang, Clayton T. Morrison. "An Infinite Hidden Markov Model With Similarity-Biased Transitions" | [Home Page] | [PDF]

• Erik A. Daxberger, Bryan Kian Hsiang Low. "Distributed Batch Gaussian Process Optimization" | [Home Page] | [PDF]

• Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan. "Consistency Analysis for Binary Classification Revisited" | [Home Page] | [PDF]

• Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg. "iSurvive: An Interpretable, Event-time Prediction Model for mHealth" | [Home Page] | [PDF]

• Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush. "Image-to-Markup Generation with Coarse-to-Fine Attention" | [Home Page] | [PDF]

• Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli. "RobustFill: Neural Program Learning under Noisy I/O" | [Home Page] | [PDF]

• Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart. "Being Robust (in High Dimensions) Can Be Practical" | [Home Page] | [PDF]

• Vu Dinh, Arman Bilge, Cheng Zhang, Frederick A. Matsen IV. "Probabilistic Path Hamiltonian Monte Carlo" | [Home Page] | [PDF]

• Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio. "Sharp Minima Can Generalize For Deep Nets" | [Home Page] | [PDF]

• Justin Domke. "A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI" | [Home Page] | [PDF]

• Chris Donahue, Zachary C. Lipton, Julian McAuley. "Dance Dance Convolution" | [Home Page] | [PDF]

• Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou. "Stochastic Variance Reduction Methods for Policy Evaluation" | [Home Page] | [PDF]

• Jonathan Eckstein, Noam Goldberg, Ai Kagawa. "Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement" | [Home Page] | [PDF]

• Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan. "Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders" | [Home Page] | [PDF]

• Mohsen Ahmadi Fahandar, Eyke Hüllermeier, Inés Couso. "Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening" | [Home Page] | [PDF]

• Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh. "Maximum Selection and Ranking under Noisy Comparisons" | [Home Page] | [PDF]

• Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha. "Fake News Mitigation via Point Process Based Intervention" | [Home Page] | [PDF]

• Gabriele Farina, Christian Kroer, Tuomas Sandholm. "Regret Minimization in Behaviorally-Constrained Zero-Sum Games" | [Home Page] | [PDF]

• Dan Feldman, Sedat Ozer, Daniela Rus. "Coresets for Vector Summarization with Applications to Network Graphs" | [Home Page] | [PDF]

• Chelsea Finn, Pieter Abbeel, Sergey Levine. "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" | [Home Page] | [PDF]

• Jakob N. Foerster, Justin Gilmer, Jascha Sohl-Dickstein, Jan Chorowski, David Sussillo. "Input Switched Affine Networks: An RNN Architecture Designed for Interpretability" | [Home Page] | [PDF]

• Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson. "Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Andrew Forney, Judea Pearl, Elias Bareinboim. "Counterfactual Data-Fusion for Online Reinforcement Learners" | [Home Page] | [PDF]

• Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil. "Forward and Reverse Gradient-Based Hyperparameter Optimization" | [Home Page] | [PDF]

• Joseph Futoma, Sanjay Hariharan, Katherine Heller. "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier" | [Home Page] | [PDF]

• Yarin Gal, Riashat Islam, Zoubin Ghahramani. "Deep Bayesian Active Learning with Image Data" | [Home Page] | [PDF]

• Tian Gao, Kshitij Fadnis, Murray Campbell. "Local-to-Global Bayesian Network Structure Learning" | [Home Page] | [PDF]

• Dan Garber, Ohad Shamir, Nathan Srebro. "Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis" | [Home Page] | [PDF]

• Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow. "Differentiable Programs with Neural Libraries" | [Home Page] | [PDF]

• Guillaume Gautier, Rémi Bardenet, Michal Valko. "Zonotope Hit-and-run for Efficient Sampling from Projection DPPs" | [Home Page] | [PDF]

• Rong Ge, Chi Jin, Yi Zheng. "No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis" | [Home Page] | [PDF]

• Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin. "Convolutional Sequence to Sequence Learning" | [Home Page] | [PDF]

• Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue. "On Context-Dependent Clustering of Bandits" | [Home Page] | [PDF]

• Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl. "Neural Message Passing for Quantum Chemistry" | [Home Page] | [PDF]

• Tom Goldstein, Christoph Studer. "Convex Phase Retrieval without Lifting via PhaseMax" | [Home Page] | [PDF]

• Javier González, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence. "Preferential Bayesian Optimization" | [Home Page] | [PDF]

• Jackson Gorham, Lester Mackey. "Measuring Sample Quality with Kernels" | [Home Page] | [PDF]

• Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou. "Efficient softmax approximation for GPUs" | [Home Page] | [PDF]

• Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu. "Automated Curriculum Learning for Neural Networks" | [Home Page] | [PDF]

• Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger. "On Calibration of Modern Neural Networks" | [Home Page] | [PDF]

• Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain. "ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices" | [Home Page] | [PDF]

• Michael Gygli, Mohammad Norouzi, Anelia Angelova. "Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs" | [Home Page] | [PDF]

• Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine. "Reinforcement Learning with Deep Energy-Based Policies" | [Home Page] | [PDF]

• Gaëtan Hadjeres, François Pachet, Frank Nielsen. "DeepBach: a Steerable Model for Bach Chorales Generation" | [Home Page] | [PDF]

• Assaf Hallak, Shie Mannor. "Consistent On-Line Off-Policy Evaluation" | [Home Page] | [PDF]

• Insu Han, Prabhanjan Kambadur, Kyoungsoo Park, Jinwoo Shin. "Faster Greedy MAP Inference for Determinantal Point Processes" | [Home Page] | [PDF]

• Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum. "Data-Efficient Policy Evaluation Through Behavior Policy Search" | [Home Page] | [PDF]

• Mehrtash Harandi, Mathieu Salzmann, Richard Hartley. "Joint Dimensionality Reduction and Metric Learning: A Geometric Take" | [Home Page] | [PDF]

• Jason Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy. "Deep IV: A Flexible Approach for Counterfactual Prediction" | [Home Page] | [PDF]

• Avinatan Hassidim, Yaron Singer. "Robust Guarantees of Stochastic Greedy Algorithms" | [Home Page] | [PDF]

• Elad Hazan, Karan Singh, Cyril Zhang. "Efficient Regret Minimization in Non-Convex Games" | [Home Page] | [PDF]

• Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin. "Kernelized Support Tensor Machines" | [Home Page] | [PDF]

• Reinhard Heckel, Kannan Ramchandran. "The Sample Complexity of Online One-Class Collaborative Filtering" | [Home Page] | [PDF]

• João F. Henriques, Andrea Vedaldi. "Warped Convolutions: Efficient Invariance to Spatial Transformations" | [Home Page] | [PDF]

• José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp, Alán Aspuru-Guzik. "Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space" | [Home Page] | [PDF]

• Irina Higgins, Arka Pal, Andrei Rusu, Loic Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner. "DARLA: Improving Zero-Shot Transfer in Reinforcement Learning" | [Home Page] | [PDF]

• Jun-ichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe. "SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling" | [Home Page] | [PDF]

• Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Phung. "Multilevel Clustering via Wasserstein Means" | [Home Page] | [PDF]

• Matthew D. Hoffman. "Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo" | [Home Page] | [PDF]

• János Höner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Müller, Nico Görnitz. "Minimizing Trust Leaks for Robust Sybil Detection" | [Home Page] | [PDF]

• Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao. "Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks" | [Home Page] | [PDF]

• Andrea Horňáková, Jan-Hendrik Lange, Bjoern Andres. "Analysis and Optimization of Graph Decompositions by Lifted Multicuts" | [Home Page] | [PDF]

• Bin Hu, Laurent Lessard. "Dissipativity Theory for Nesterov’s Accelerated Method" | [Home Page] | [PDF]

• Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama. "Learning Discrete Representations via Information Maximizing Self-Augmented Training" | [Home Page] | [PDF]

• Hao Hu, Guo-Jun Qi. "State-Frequency Memory Recurrent Neural Networks" | [Home Page] | [PDF]

• Changwei Hu, Piyush Rai, Lawrence Carin. "Deep Generative Models for Relational Data with Side Information" | [Home Page] | [PDF]

• Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing. "Toward Controlled Generation of Text" | [Home Page] | [PDF]

• Masaaki Imaizumi, Kohei Hayashi. "Tensor Decomposition with Smoothness" | [Home Page] | [PDF]

• John Ingraham, Debora Marks. "Variational Inference for Sparse and Undirected Models" | [Home Page] | [PDF]

• Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron Roth. "Fairness in Reinforcement Learning" | [Home Page] | [PDF]

• Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu. "Decoupled Neural Interfaces using Synthetic Gradients" | [Home Page] | [PDF]

• Vikas Jain, Nirbhay Modhe, Piyush Rai. "Scalable Generative Models for Multi-label Learning with Missing Labels" | [Home Page] | [PDF]

• Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck. "Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control" | [Home Page] | [PDF]

• Rodolphe Jenatton, Cedric Archambeau, Javier González, Matthias Seeger. "Bayesian Optimization with Tree-structured Dependencies" | [Home Page] | [PDF]

• Yacine Jernite, Anna Choromanska, David Sontag. "Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation" | [Home Page] | [PDF]

• Geng Ji, Michael C. Hughes, Erik B. Sudderth. "From Patches to Images: A Nonparametric Generative Model" | [Home Page] | [PDF]

• Heinrich Jiang. "Density Level Set Estimation on Manifolds with DBSCAN" | [Home Page] | [PDF]

• Heinrich Jiang. "Uniform Convergence Rates for Kernel Density Estimation" | [Home Page] | [PDF]

• Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford, Robert E. Schapire. "Contextual Decision Processes with low Bellman rank are PAC-Learnable" | [Home Page] | [PDF]

• Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett. "Efficient Nonmyopic Active Search" | [Home Page] | [PDF]

• Chi Jin, Rong Ge, Praneeth Netrapalli, Sham M. Kakade, Michael I. Jordan. "How to Escape Saddle Points Efficiently" | [Home Page] | [PDF]

• Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott Skirlo, Yann LeCun, Max Tegmark, Marin Soljačić. "Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs" | [Home Page] | [PDF]

• Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton. "An Adaptive Test of Independence with Analytic Kernel Embeddings" | [Home Page] | [PDF]

• Tyler B. Johnson, Carlos Guestrin. "StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent" | [Home Page] | [PDF]

• Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. "Differentially Private Chi-squared Test by Unit Circle Mechanism" | [Home Page] | [PDF]

• Nal Kalchbrenner, Aäron Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu. "Video Pixel Networks" | [Home Page] | [PDF]

• Satyen Kale, Zohar Karnin, Tengyuan Liang, Dávid Pál. "Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP" | [Home Page] | [PDF]

• Nathan Kallus. "Recursive Partitioning for Personalization using Observational Data" | [Home Page] | [PDF]

• Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider, Barnabás Póczos. "Multi-fidelity Bayesian Optimisation with Continuous Approximations" | [Home Page] | [PDF]

• Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, Scott Phoenix, Dileep George. "Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics" | [Home Page] | [PDF]

• Sammie Katt, Frans A. Oliehoek, Christopher Amato. "Learning in POMDPs with Monte Carlo Tree Search" | [Home Page] | [PDF]

• Michael Kearns, Aaron Roth, Zhiwei Steven Wu. "Meritocratic Fairness for Cross-Population Selection" | [Home Page] | [PDF]

• Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand Negahban. "On Approximation Guarantees for Greedy Low Rank Optimization" | [Home Page] | [PDF]

• Renata Khasanova, Pascal Frossard. "Graph-based Isometry Invariant Representation Learning" | [Home Page] | [PDF]

• Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks" | [Home Page] | [PDF]

• Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang. "SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization" | [Home Page] | [PDF]

• Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath. "Cost-Optimal Learning of Causal Graphs" | [Home Page] | [PDF]

• Pang Wei Koh, Percy Liang. "Understanding Black-box Predictions via Influence Functions" | [Home Page] | [PDF]

• Jonas Moritz Kohler, Aurelien Lucchi. "Sub-sampled Cubic Regularization for Non-convex Optimization" | [Home Page] | [PDF]

• Alexander Kolesnikov, Christoph H. Lampert. "PixelCNN Models with Auxiliary Variables for Natural Image Modeling" | [Home Page] | [PDF]

• Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford. "Active Learning for Cost-Sensitive Classification" | [Home Page] | [PDF]

• Alp Kucukelbir, Yixin Wang, David M. Blei. "Evaluating Bayesian Models with Posterior Dispersion Indices" | [Home Page] | [PDF]

• Ashish Kumar, Saurabh Goyal, Manik Varma. "Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things" | [Home Page] | [PDF]

• Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato. "Grammar Variational Autoencoder" | [Home Page] | [PDF]

• Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault. "Co-clustering through Optimal Transport" | [Home Page] | [PDF]

• Guanghui Lan, Sebastian Pokutta, Yi Zhou, Daniel Zink. "Conditional Accelerated Lazy Stochastic Gradient Descent" | [Home Page] | [PDF]

• Silvio Lattanzi, Sergei Vassilvitskii. "Consistent k-Clustering" | [Home Page] | [PDF]

• Marc T. Law, Raquel Urtasun, Richard S. Zemel. "Deep Spectral Clustering Learning" | [Home Page] | [PDF]

• Hoang M. Le, Yisong Yue, Peter Carr, Patrick Lucey. "Coordinated Multi-Agent Imitation Learning" | [Home Page] | [PDF]

• Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi. "Bayesian inference on random simple graphs with power law degree distributions" | [Home Page] | [PDF]

• Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin. "Confident Multiple Choice Learning" | [Home Page] | [PDF]

• Tao Lei, Wengong Jin, Regina Barzilay, Tommi Jaakkola. "Deriving Neural Architectures from Sequence and Graph Kernels" | [Home Page] | [PDF]

• Qi Lei, Ian En-Hsu Yen, Chao-yuan Wu, Inderjit S. Dhillon, Pradeep Ravikumar. "Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization" | [Home Page] | [PDF]

• Dor Levy, Lior Wolf. "Learning to Align the Source Code to the Compiled Object Code" | [Home Page] | [PDF]

• Yingzhen Li, Yarin Gal. "Dropout Inference in Bayesian Neural Networks with Alpha-divergences" | [Home Page] | [PDF]

• Yuanzhi Li, Yingyu Liang. "Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations" | [Home Page] | [PDF]

• Lihong Li, Yu Lu, Dengyong Zhou. "Provably Optimal Algorithms for Generalized Linear Contextual Bandits" | [Home Page] | [PDF]

• Ke Li, Jitendra Malik. "Fast k-Nearest Neighbour Search via Prioritized DCI" | [Home Page] | [PDF]

• Alexander Hanbo Li, Andrew Martin. "Forest-type Regression with General Losses and Robust Forest" | [Home Page] | [PDF]

• Qianxiao Li, Cheng Tai, Weinan E. "Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms" | [Home Page] | [PDF]

• Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney. "Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization" | [Home Page] | [PDF]

• Erik M. Lindgren, Alexandros G. Dimakis, Adam Klivans. "Exact MAP Inference by Avoiding Fractional Vertices" | [Home Page] | [PDF]

• John Lipor, Laura Balzano. "Leveraging Union of Subspace Structure to Improve Constrained Clustering" | [Home Page] | [PDF]

• Li-Ping Liu, David M. Blei. "Zero-Inflated Exponential Family Embeddings" | [Home Page] | [PDF]

• Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song. "Iterative Machine Teaching" | [Home Page] | [PDF]

• Tongliang Liu, Gábor Lugosi, Gergely Neu, Dacheng Tao. "Algorithmic Stability and Hypothesis Complexity" | [Home Page] | [PDF]

• Hanxiao Liu, Yuexin Wu, Yiming Yang. "Analogical Inference for Multi-relational Embeddings" | [Home Page] | [PDF]

• Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas. "Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization" | [Home Page] | [PDF]

• Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh. "Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling" | [Home Page] | [PDF]

• Roi Livni, Daniel Carmon, Amir Globerson. "Learning Infinite Layer Networks Without the Kernel Trick" | [Home Page] | [PDF]

• Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan. "Deep Transfer Learning with Joint Adaptation Networks" | [Home Page] | [PDF]

• Christos Louizos, Max Welling. "Multiplicative Normalizing Flows for Variational Bayesian Neural Networks" | [Home Page] | [PDF]

• Andreas Loukas. "How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?" | [Home Page] | [PDF]

• Ping Luo. "Learning Deep Architectures via Generalized Whitened Neural Networks" | [Home Page] | [PDF]

• Kaifeng Lv, Shunhua Jiang, Jian Li. "Learning Gradient Descent: Better Generalization and Longer Horizons" | [Home Page] | [PDF]

• Yueming Lyu. "Spherical Structured Feature Maps for Kernel Approximation" | [Home Page] | [PDF]

• Yi-An Ma, Nicholas J. Foti, Emily B. Fox. "Stochastic Gradient MCMC Methods for Hidden Markov Models" | [Home Page] | [PDF]

• Fan Ma, Deyu Meng, Qi Xie, Zina Li, Xuanyi Dong. "Self-Paced Co-training" | [Home Page] | [PDF]

• James MacGlashan, Mark K. Ho, Robert Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman. "Interactive Learning from Policy-Dependent Human Feedback" | [Home Page] | [PDF]

• Marlos C. Machado, Marc G. Bellemare, Michael Bowling. "A Laplacian Framework for Option Discovery in Reinforcement Learning" | [Home Page] | [PDF]

• Sebastian Mair, Ahcène Boubekki, Ulf Brefeld. "Frame-based Data Factorizations" | [Home Page] | [PDF]

• Cédric Malherbe, Nicolas Vayatis. "Global optimization of Lipschitz functions" | [Home Page] | [PDF]

• Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti. "On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations" | [Home Page] | [PDF]

• Andrés Masegosa, Thomas D. Nielsen, Helge Langseth, Darı́o Ramos-López, Antonio Salmerón, Anders L. Madsen. "Bayesian Models of Data Streams with Hierarchical Power Priors" | [Home Page] | [PDF]

• Lucas Maystre, Matthias Grossglauser. "Just Sort It! A Simple and Effective Approach to Active Preference Learning" | [Home Page] | [PDF]

• Lucas Maystre, Matthias Grossglauser. "ChoiceRank: Identifying Preferences from Node Traffic in Networks" | [Home Page] | [PDF]

• Mason McGill, Pietro Perona. "Deciding How to Decide: Dynamic Routing in Artificial Neural Networks" | [Home Page] | [PDF]

• Daniel McNamara, Maria-Florina Balcan. "Risk Bounds for Transferring Representations With and Without Fine-Tuning" | [Home Page] | [PDF]

• Jiali Mei, Yohann De Castro, Yannig Goude, Georges Hébrail. "Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates" | [Home Page] | [PDF]

• Lars Mescheder, Sebastian Nowozin, Andreas Geiger. "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks" | [Home Page] | [PDF]

• Zakaria Mhammedi, Andrew Hellicar, Ashfaqur Rahman, James Bailey. "Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections" | [Home Page] | [PDF]

• Yishu Miao, Edward Grefenstette, Phil Blunsom. "Discovering Discrete Latent Topics with Neural Variational Inference" | [Home Page] | [PDF]

• Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams. "Variational Boosting: Iteratively Refining Posterior Approximations" | [Home Page] | [PDF]

• Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean. "Device Placement Optimization with Reinforcement Learning" | [Home Page] | [PDF]

• Vahab Mirrokni, Renato Paes Leme, Adrian Vladu, Sam Chiu-wai Wong. "Tight Bounds for Approximate Carathéodory and Beyond" | [Home Page] | [PDF]

• Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause. "Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten”" | [Home Page] | [PDF]

• Nikhil Mishra, Pieter Abbeel, Igor Mordatch. "Prediction and Control with Temporal Segment Models" | [Home Page] | [PDF]

• Ioannis Mitliagkas, Lester Mackey. "Improving Gibbs Sampler Scan Quality with DoGS" | [Home Page] | [PDF]

• Marko Mitrovic, Mark Bun, Andreas Krause, Amin Karbasi. "Differentially Private Submodular Maximization: Data Summarization in Disguise" | [Home Page] | [PDF]

• Soheil Mohajer, Changho Suh, Adel Elmahdy. "Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons" | [Home Page] | [PDF]

• Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov. "Variational Dropout Sparsifies Deep Neural Networks" | [Home Page] | [PDF]

• Amina Mollaysa, Pablo Strasser, Alexandros Kalousis. "Regularising Non-linear Models Using Feature Side-information" | [Home Page] | [PDF]

• Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin. "Coupling Distributed and Symbolic Execution for Natural Language Queries" | [Home Page] | [PDF]

• Youssef Mroueh, Tom Sercu, Vaibhava Goel. "McGan: Mean and Covariance Feature Matching GAN" | [Home Page] | [PDF]

• Jonas Mueller, David Gifford, Tommi Jaakkola. "Sequence to Better Sequence: Continuous Revision of Combinatorial Structures" | [Home Page] | [PDF]

• Mahesh Chandra Mukkamala, Matthias Hein. "Variants of RMSProp and Adagrad with Logarithmic Regret Bounds" | [Home Page] | [PDF]

• Tsendsuren Munkhdalai, Hong Yu. "Meta Networks" | [Home Page] | [PDF]

• Tasha Nagamine, Nima Mesgarani. "Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition" | [Home Page] | [PDF]

• Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi. "Adaptive Sampling Probabilities for Non-Smooth Optimization" | [Home Page] | [PDF]

• Daniel Neil, Jun Haeng Lee, Tobi Delbruck, Shih-Chii Liu. "Delta Networks for Optimized Recurrent Network Computation" | [Home Page] | [PDF]

• Willie Neiswanger, Eric Xing. "Post-Inference Prior Swapping" | [Home Page] | [PDF]

• Quynh Nguyen, Matthias Hein. "The Loss Surface of Deep and Wide Neural Networks" | [Home Page] | [PDF]

• Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takáč. "SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient" | [Home Page] | [PDF]

• Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen. "Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data" | [Home Page] | [PDF]

• Tsubasa Ochiai, Shinji Watanabe, Takaaki Hori, John R. Hershey. "Multichannel End-to-end Speech Recognition" | [Home Page] | [PDF]

• Augustus Odena, Christopher Olah, Jonathon Shlens. "Conditional Image Synthesis with Auxiliary Classifier GANs" | [Home Page] | [PDF]

• Dino Oglic, Thomas Gärtner. "Nyström Method with Kernel K-means++ Samples as Landmarks" | [Home Page] | [PDF]

• Junhyuk Oh, Satinder Singh, Honglak Lee, Pushmeet Kohli. "Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning" | [Home Page] | [PDF]

• Junier B. Oliva, Barnabás Póczos, Jeff Schneider. "The Statistical Recurrent Unit" | [Home Page] | [PDF]

• Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian. "Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability" | [Home Page] | [PDF]

• Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano. "Algebraic Variety Models for High-Rank Matrix Completion" | [Home Page] | [PDF]

• Ian Osband, Benjamin Van Roy. "Why is Posterior Sampling Better than Optimism for Reinforcement Learning?" | [Home Page] | [PDF]

• Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama. "Bidirectional Learning for Time-series Models with Hidden Units" | [Home Page] | [PDF]

• Georg Ostrovski, Marc G. Bellemare, Aäron Oord, Rémi Munos. "Count-Based Exploration with Neural Density Models" | [Home Page] | [PDF]

• Pedram Pad, Farnood Salehi, Elisa Celis, Patrick Thiran, Michael Unser. "Dictionary Learning Based on Sparse Distribution Tomography" | [Home Page] | [PDF]

• Ari Pakman, Dar Gilboa, David Carlson, Liam Paninski. "Stochastic Bouncy Particle Sampler" | [Home Page] | [PDF]

• Konstantina Palla, David Knowles, Zoubin Ghahramani. "A Birth-Death Process for Feature Allocation" | [Home Page] | [PDF]

• Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots. "Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control" | [Home Page] | [PDF]

• Ashkan Panahi, Devdatt Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya. "Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery" | [Home Page] | [PDF]

• Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell. "Curiosity-driven Exploration by Self-supervised Prediction" | [Home Page] | [PDF]

• Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi. "Asynchronous Distributed Variational Gaussian Process for Regression" | [Home Page] | [PDF]

• Jeffrey Pennington, Yasaman Bahri. "Geometry of Neural Network Loss Surfaces via Random Matrix Theory" | [Home Page] | [PDF]

• Anastasia Pentina, Christoph H. Lampert. "Multi-task Learning with Labeled and Unlabeled Tasks" | [Home Page] | [PDF]

• Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta. "Robust Adversarial Reinforcement Learning" | [Home Page] | [PDF]

• Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell. "Neural Episodic Control" | [Home Page] | [PDF]

• Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck. "Online and Linear-Time Attention by Enforcing Monotonic Alignments" | [Home Page] | [PDF]

• Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein. "On the Expressive Power of Deep Neural Networks" | [Home Page] | [PDF]

• Aditi Raghunathan, Gregory Valiant, James Zou. "Estimating the unseen from multiple populations" | [Home Page] | [PDF]

• Mostafa Rahmani, George Atia. "Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery" | [Home Page] | [PDF]

• Mostafa Rahmani, George Atia. "Innovation Pursuit: A New Approach to the Subspace Clustering Problem" | [Home Page] | [PDF]

• Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh. "High Dimensional Bayesian Optimization with Elastic Gaussian Process" | [Home Page] | [PDF]

• Siamak Ravanbakhsh, Jeff Schneider, Barnabás Póczos. "Equivariance Through Parameter-Sharing" | [Home Page] | [PDF]

• Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V. Le, Alexey Kurakin. "Large-Scale Evolution of Image Classifiers" | [Home Page] | [PDF]

• Scott Reed, Aäron Oord, Nal Kalchbrenner, Sergio Gómez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando Freitas. "Parallel Multiscale Autoregressive Density Estimation" | [Home Page] | [PDF]

• Oren Rippel, Lubomir Bourdev. "Real-Time Adaptive Image Compression" | [Home Page] | [PDF]

• Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric. "Active Learning for Accurate Estimation of Linear Models" | [Home Page] | [PDF]

• Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick. "Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study" | [Home Page] | [PDF]

• Benjamin I. P. Rubinstein, Francesco Aldà. "Pain-Free Random Differential Privacy with Sensitivity Sampling" | [Home Page] | [PDF]

• Salvatore Ruggieri. "Enumerating Distinct Decision Trees" | [Home Page] | [PDF]

• Tammo Rukat, Chris C. Holmes, Michalis K. Titsias, Christopher Yau. "Bayesian Boolean Matrix Factorisation" | [Home Page] | [PDF]

• Itay Safran, Ohad Shamir. "Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks" | [Home Page] | [PDF]

• Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. "Asymmetric Tri-training for Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Tomoya Sakai, Marthinus Christoffel Plessis, Gang Niu, Masashi Sugiyama. "Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data" | [Home Page] | [PDF]

• Charbel Sakr, Yongjune Kim, Naresh Shanbhag. "Analytical Guarantees on Numerical Precision of Deep Neural Networks" | [Home Page] | [PDF]

• Andrew M. Saxe, Adam C. Earle, Benjamin Rosman. "Hierarchy Through Composition with Multitask LMDPs" | [Home Page] | [PDF]

• Kevin Scaman, Francis Bach, Sébastien Bubeck, Yin Tat Lee, Laurent Massoulié. "Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks" | [Home Page] | [PDF]

• Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White. "Adapting Kernel Representations Online Using Submodular Maximization" | [Home Page] | [PDF]

• Daniel Selsam, Percy Liang, David L. Dill. "Developing Bug-Free Machine Learning Systems With Formal Mathematics" | [Home Page] | [PDF]

• Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai. "Identifying Best Interventions through Online Importance Sampling" | [Home Page] | [PDF]

• Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah. "Failures of Gradient-Based Deep Learning" | [Home Page] | [PDF]

• Uri Shalit, Fredrik D. Johansson, David Sontag. "Estimating individual treatment effect: generalization bounds and algorithms" | [Home Page] | [PDF]

• Ohad Shamir, Liran Szlak. "Online Learning with Local Permutations and Delayed Feedback" | [Home Page] | [PDF]

• Vatsal Sharan, Gregory Valiant. "Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use" | [Home Page] | [PDF]

• Or Sheffet. "Differentially Private Ordinary Least Squares" | [Home Page] | [PDF]

• Jie Shen, Ping Li. "On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit" | [Home Page] | [PDF]

• Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma. "GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization" | [Home Page] | [PDF]

• Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang. "World of Bits: An Open-Domain Platform for Web-Based Agents" | [Home Page] | [PDF]

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• Haishan Ye, Luo Luo, Zhihua Zhang. "Approximate Newton Methods and Their Local Convergence" | [Home Page] | [PDF]

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• Jaehong Yoon, Sung Ju Hwang. "Combined Group and Exclusive Sparsity for Deep Neural Networks" | [Home Page] | [PDF]

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• Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin. "Stochastic Gradient Monomial Gamma Sampler" | [Home Page] | [PDF]

• Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin. "Adversarial Feature Matching for Text Generation" | [Home Page] | [PDF]

• Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang. "Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction" | [Home Page] | [PDF]

• Chenzi Zhang, Shuguang Hu, Zhihao Gavin Tang, T-H. Hubert Chan. "Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method" | [Home Page] | [PDF]

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• Yuchen Zhang, Percy Liang, Martin J. Wainwright. "Convexified Convolutional Neural Networks" | [Home Page] | [PDF]

• Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang. "Projection-free Distributed Online Learning in Networks" | [Home Page] | [PDF]

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• He Zhao, Lan Du, Wray Buntine. "Leveraging Node Attributes for Incomplete Relational Data" | [Home Page] | [PDF]

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• Yichi Zhou, Jialian Li, Jun Zhu. "Identify the Nash Equilibrium in Static Games with Random Payoffs" | [Home Page] | [PDF]

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