icml2019.md

ICML2019

• Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf, Stefan Bauer. "AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs" | [Home Page] | [PDF]

• Axel Abels, Diederik Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher. "Dynamic Weights in Multi-Objective Deep Reinforcement Learning" | [Home Page] | [PDF]

• Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan. "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" | [Home Page] | [PDF]

• Jayadev Acharya, Clement Canonne, Himanshu Tyagi. "Communication-Constrained Inference and the Role of Shared Randomness" | [Home Page] | [PDF]

• Jayadev Acharya, Chris De Sa, Dylan Foster, Karthik Sridharan. "Distributed Learning with Sublinear Communication" | [Home Page] | [PDF]

• Jayadev Acharya, Ziteng Sun. "Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters" | [Home Page] | [PDF]

• Roy Adams, Yuelong Ji, Xiaobin Wang, Suchi Saria. "Learning Models from Data with Measurement Error: Tackling Underreporting" | [Home Page] | [PDF]

• Tameem Adel, Adrian Weller. "TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning" | [Home Page] | [PDF]

• Abhijin Adiga, Chris J Kuhlman, Madhav Marathe, S Ravi, Anil Vullikanti. "PAC Learnability of Node Functions in Networked Dynamical Systems" | [Home Page] | [PDF]

• Ashish Agarwal. "Static Automatic Batching In TensorFlow" | [Home Page] | [PDF]

• Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang. "Efficient Full-Matrix Adaptive Regularization" | [Home Page] | [PDF]

• Naman Agarwal, Brian Bullins, Elad Hazan, Sham Kakade, Karan Singh. "Online Control with Adversarial Disturbances" | [Home Page] | [PDF]

• Alekh Agarwal, Miroslav Dudik, Zhiwei Steven Wu. "Fair Regression: Quantitative Definitions and Reduction-Based Algorithms" | [Home Page] | [PDF]

• Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi. "Learning to Generalize from Sparse and Underspecified Rewards" | [Home Page] | [PDF]

• Raj Agrawal, Brian Trippe, Jonathan Huggins, Tamara Broderick. "The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions" | [Home Page] | [PDF]

• Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans. "Understanding the Impact of Entropy on Policy Optimization" | [Home Page] | [PDF]

• Ulrich Aivodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp. "Fairwashing: the risk of rationalization" | [Home Page] | [PDF]

• Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida. "Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search" | [Home Page] | [PDF]

• Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann. "Projections for Approximate Policy Iteration Algorithms" | [Home Page] | [PDF]

• Ahmed Alaa, Mihaela Van Der Schaar. "Validating Causal Inference Models via Influence Functions" | [Home Page] | [PDF]

• Isabela Albuquerque, Joao Monteiro, Thang Doan, Breandan Considine, Tiago Falk, Ioannis Mitliagkas. "Multi-objective training of Generative Adversarial Networks with multiple discriminators" | [Home Page] | [PDF]

• Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauza Villalonga, Alberto Rodriguez, Tomas Lozano-Perez, Leslie Kaelbling. "Graph Element Networks: adaptive, structured computation and memory" | [Home Page] | [PDF]

• Carl Allen, Timothy Hospedales. "Analogies Explained: Towards Understanding Word Embeddings" | [Home Page] | [PDF]

• Kelsey Allen, Evan Shelhamer, Hanul Shin, Joshua Tenenbaum. "Infinite Mixture Prototypes for Few-shot Learning" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song. "A Convergence Theory for Deep Learning via Over-Parameterization" | [Home Page] | [PDF]

• Ahsan Alvi, Binxin Ru, Jan-Peter Calliess, Stephen Roberts, Michael A. Osborne. "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation" | [Home Page] | [PDF]

• Kareem Amin, Alex Kulesza, Andres Munoz, Sergei Vassilvtiskii. "Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy" | [Home Page] | [PDF]

• Marco Ancona, Cengiz Oztireli, Markus Gross. "Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation" | [Home Page] | [PDF]

• Jesse Anderton, Javed Aslam. "Scaling Up Ordinal Embedding: A Landmark Approach" | [Home Page] | [PDF]

• Cem Anil, James Lucas, Roger Grosse. "Sorting Out Lipschitz Function Approximation" | [Home Page] | [PDF]

• Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi. "Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data" | [Home Page] | [PDF]

• Eric Arazo, Diego Ortego, Paul Albert, Noel O’Connor, Kevin Mcguinness. "Unsupervised Label Noise Modeling and Loss Correction" | [Home Page] | [PDF]

• Sanjeev Arora, Simon Du, Wei Hu, Zhiyuan Li, Ruosong Wang. "Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks" | [Home Page] | [PDF]

• Sepehr Assadi, Mohammadhossein Bateni, Vahab Mirrokni. "Distributed Weighted Matching via Randomized Composable Coresets" | [Home Page] | [PDF]

• Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Mike Rabbat. "Stochastic Gradient Push for Distributed Deep Learning" | [Home Page] | [PDF]

• Raul Astudillo, Peter Frazier. "Bayesian Optimization of Composite Functions" | [Home Page] | [PDF]

• Kubilay Atasu, Thomas Mittelholzer. "Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations" | [Home Page] | [PDF]

• Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra Slavković. "Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA" | [Home Page] | [PDF]

• Sergul Aydore, Bertrand Thirion, Gael Varoquaux. "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" | [Home Page] | [PDF]

• Fadhel Ayed, Juho Lee, Francois Caron. "Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior" | [Home Page] | [PDF]

• Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner. "Scalable Fair Clustering" | [Home Page] | [PDF]

• Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi. "Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs" | [Home Page] | [PDF]

• Maria-Florina Balcan, Mikhail Khodak, Ameet Talwalkar. "Provable Guarantees for Gradient-Based Meta-Learning" | [Home Page] | [PDF]

• David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Perolat, Max Jaderberg, Thore Graepel. "Open-ended learning in symmetric zero-sum games" | [Home Page] | [PDF]

• Muhammed Fatih Balın, Abubakar Abid, James Zou. "Concrete Autoencoders: Differentiable Feature Selection and Reconstruction" | [Home Page] | [PDF]

• Kshitij Bansal, Sarah Loos, Markus Rabe, Christian Szegedy, Stewart Wilcox. "HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving" | [Home Page] | [PDF]

• Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly Stachenfeld, Pushmeet Kohli, Peter Battaglia, Jessica Hamrick. "Structured agents for physical construction" | [Home Page] | [PDF]

• Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko. "Learning to Route in Similarity Graphs" | [Home Page] | [PDF]

• Pablo Barros, German Parisi, Stefan Wermter. "A Personalized Affective Memory Model for Improving Emotion Recognition" | [Home Page] | [PDF]

• Peter Bartlett, Victor Gabillon, Jennifer Healey, Michal Valko. "Scale-free adaptive planning for deterministic dynamics & discounted rewards" | [Home Page] | [PDF]

• Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai. "Pareto Optimal Streaming Unsupervised Classification" | [Home Page] | [PDF]

• Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab Mirrokni, Afshin Rostamizadeh. "Categorical Feature Compression via Submodular Optimization" | [Home Page] | [PDF]

• Joshua Batson, Loic Royer. "Noise2Self: Blind Denoising by Self-Supervision" | [Home Page] | [PDF]

• Alex Beatson, Ryan P Adams. "Efficient optimization of loops and limits with randomized telescoping sums" | [Home Page] | [PDF]

• Philipp Becker, Harit Pandya, Gregor Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann. "Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces" | [Home Page] | [PDF]

• Philip Becker-Ehmck, Jan Peters, Patrick Van Der Smagt. "Switching Linear Dynamics for Variational Bayes Filtering" | [Home Page] | [PDF]

• Sima Behpour, Anqi Liu, Brian Ziebart. "Active Learning for Probabilistic Structured Prediction of Cuts and Matchings" | [Home Page] | [PDF]

• Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Joern-Henrik Jacobsen. "Invertible Residual Networks" | [Home Page] | [PDF]

• Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon. "Greedy Layerwise Learning Can Scale To ImageNet" | [Home Page] | [PDF]

• Yassine Benyahia, Kaicheng Yu, Kamil Bennani Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat. "Overcoming Multi-model Forgetting" | [Home Page] | [PDF]

• Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika, Anders Martinsson, Angelika Steger. "Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning" | [Home Page] | [PDF]

• Martin Bertran, Natalia Martinez, Afroditi Papadaki, Qiang Qiu, Miguel Rodrigues, Galen Reeves, Guillermo Sapiro. "Adversarially Learned Representations for Information Obfuscation and Inference" | [Home Page] | [PDF]

• Alina Beygelzimer, David Pal, Balazs Szorenyi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang. "Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case" | [Home Page] | [PDF]

• Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo. "Analyzing Federated Learning through an Adversarial Lens" | [Home Page] | [PDF]

• Yatao Bian, Joachim Buhmann, Andreas Krause. "Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference" | [Home Page] | [PDF]

• Aurelien Bibaut, Ivana Malenica, Nikos Vlassis, Mark Van Der Laan. "More Efficient Off-Policy Evaluation through Regularized Targeted Learning" | [Home Page] | [PDF]

• Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal. "A Kernel Perspective for Regularizing Deep Neural Networks" | [Home Page] | [PDF]

• Yochai Blau, Tomer Michaeli. "Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff" | [Home Page] | [PDF]

• Vinay Praneeth Boda, Prashanth L.A.. "Correlated bandits or: How to minimize mean-squared error online" | [Home Page] | [PDF]

• Aleksandar Bojchevski, Stephan Günnemann. "Adversarial Attacks on Node Embeddings via Graph Poisoning" | [Home Page] | [PDF]

• Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause. "Online Variance Reduction with Mixtures" | [Home Page] | [PDF]

• Avishek Bose, William Hamilton. "Compositional Fairness Constraints for Graph Embeddings" | [Home Page] | [PDF]

• Xavier Bouthillier, César Laurent, Pascal Vincent. "Unreproducible Research is Reproducible" | [Home Page] | [PDF]

• Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen Wright. "Blended Conditonal Gradients" | [Home Page] | [PDF]

• Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. "Coresets for Ordered Weighted Clustering" | [Home Page] | [PDF]

• Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz. "Target Tracking for Contextual Bandits: Application to Demand Side Management" | [Home Page] | [PDF]

• Robert Bridges, Anthony Gruber, Christopher Felder, Miki Verma, Chelsey Hoff. "Active Manifolds: A non-linear analogue to Active Subspaces" | [Home Page] | [PDF]

• David Brookes, Hahnbeom Park, Jennifer Listgarten. "Conditioning by adaptive sampling for robust design" | [Home Page] | [PDF]

• Daniel Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum. "Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations" | [Home Page] | [PDF]

• Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm. "Deep Counterfactual Regret Minimization" | [Home Page] | [PDF]

• Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, Richard Zemel. "Understanding the Origins of Bias in Word Embeddings" | [Home Page] | [PDF]

• Alon Brutzkus, Ran Gilad-Bachrach, Oren Elisha. "Low Latency Privacy Preserving Inference" | [Home Page] | [PDF]

• Alon Brutzkus, Amir Globerson. "Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem" | [Home Page] | [PDF]

• Sebastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn. "Adversarial examples from computational constraints" | [Home Page] | [PDF]

• Eliav Buchnik, Edith Cohen, Avinatan Hasidim, Yossi Matias. "Self-similar Epochs: Value in arrangement" | [Home Page] | [PDF]

• Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka. "Learning Generative Models across Incomparable Spaces" | [Home Page] | [PDF]

• David Burt, Carl Edward Rasmussen, Mark Van Der Wilk. "Rates of Convergence for Sparse Variational Gaussian Process Regression" | [Home Page] | [PDF]

• Jonathon Byrd, Zachary Lipton. "What is the Effect of Importance Weighting in Deep Learning?" | [Home Page] | [PDF]

• Yongqiang Cai, Qianxiao Li, Zuowei Shen. "A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent" | [Home Page] | [PDF]

• Bugra Can, Mert Gurbuzbalaban, Lingjiong Zhu. "Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances" | [Home Page] | [PDF]

• Gregory Canal, Andy Massimino, Mark Davenport, Christopher Rozell. "Active Embedding Search via Noisy Paired Comparisons" | [Home Page] | [PDF]

• Junyu Cao, Wei Sun. "Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem" | [Home Page] | [PDF]

• Adrian Rivera Cardoso, Jacob Abernethy, He Wang, Huan Xu. "Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games" | [Home Page] | [PDF]

• Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett. "Automated Model Selection with Bayesian Quadrature" | [Home Page] | [PDF]

• Yash Chandak, Georgios Theocharous, James Kostas, Scott Jordan, Philip Thomas. "Learning Action Representations for Reinforcement Learning" | [Home Page] | [PDF]

• Chun-Hao Chang, Mingjie Mai, Anna Goldenberg. "Dynamic Measurement Scheduling for Event Forecasting using Deep RL" | [Home Page] | [PDF]

• Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama. "On Symmetric Losses for Learning from Corrupted Labels" | [Home Page] | [PDF]

• Niladri Chatterji, Aldo Pacchiano, Peter Bartlett. "Online learning with kernel losses" | [Home Page] | [PDF]

• Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N Balasubramanian. "Neural Network Attributions: A Causal Perspective" | [Home Page] | [PDF]

• Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan. "PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits" | [Home Page] | [PDF]

• George Chen. "Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates" | [Home Page] | [PDF]

• Wilson Ye Chen, Alessandro Barp, Francois-Xavier Briol, Jackson Gorham, Mark Girolami, Lester Mackey, Chris Oates. "Stein Point Markov Chain Monte Carlo" | [Home Page] | [PDF]

• Xinshi Chen, Hanjun Dai, Le Song. "Particle Flow Bayes’ Rule" | [Home Page] | [PDF]

• Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala. "Proportionally Fair Clustering" | [Home Page] | [PDF]

• Jinglin Chen, Nan Jiang. "Information-Theoretic Considerations in Batch Reinforcement Learning" | [Home Page] | [PDF]

• Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song. "Generative Adversarial User Model for Reinforcement Learning Based Recommendation System" | [Home Page] | [PDF]

• Pengfei Chen, Ben Ben Liao, Guangyong Chen, Shengyu Zhang. "Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels" | [Home Page] | [PDF]

• Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng. "A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization" | [Home Page] | [PDF]

• Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang. "Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation" | [Home Page] | [PDF]

• Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse. "Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications" | [Home Page] | [PDF]

• Zaiyi Chen, Yi Xu, Haoyuan Hu, Tianbao Yang. "Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number" | [Home Page] | [PDF]

• Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin. "Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching" | [Home Page] | [PDF]

• Hongge Chen, Huan Zhang, Duane Boning, Cho-Jui Hsieh. "Robust Decision Trees Against Adversarial Examples" | [Home Page] | [PDF]

• Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang. "RaFM: Rank-Aware Factorization Machines" | [Home Page] | [PDF]

• Richard Cheng, Abhinav Verma, Gabor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick. "Control Regularization for Reduced Variance Reinforcement Learning" | [Home Page] | [PDF]

• Ching-An Cheng, Xinyan Yan, Nathan Ratliff, Byron Boots. "Predictor-Corrector Policy Optimization" | [Home Page] | [PDF]

• Julien Chiquet, Stephane Robin, Mahendra Mariadassou. "Variational Inference for sparse network reconstruction from count data" | [Home Page] | [PDF]

• Uthsav Chitra, Benjamin Raphael. "Random Walks on Hypergraphs with Edge-Dependent Vertex Weights" | [Home Page] | [PDF]

• Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon. "Neural Joint Source-Channel Coding" | [Home Page] | [PDF]

• Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf. "Beyond Backprop: Online Alternating Minimization with Auxiliary Variables" | [Home Page] | [PDF]

• Krzysztof Choromanski, Mark Rowland, Wenyu Chen, Adrian Weller. "Unifying Orthogonal Monte Carlo Methods" | [Home Page] | [PDF]

• Casey Chu, Jose Blanchet, Peter Glynn. "Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning" | [Home Page] | [PDF]

• Eric Chu, Peter Liu. "MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization" | [Home Page] | [PDF]

• Hye Won Chung, Ji Oon Lee. "Weak Detection of Signal in the Spiked Wigner Model" | [Home Page] | [PDF]

• Ferdinando Cicalese, Eduardo Laber, Lucas Murtinho. "New results on information theoretic clustering" | [Home Page] | [PDF]

• Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim. "Sensitivity Analysis of Linear Structural Causal Models" | [Home Page] | [PDF]

• Kenneth Clarkson, Ruosong Wang, David Woodruff. "Dimensionality Reduction for Tukey Regression" | [Home Page] | [PDF]

• Pierre Laforgue, Stephan Clemencon, Patrice Bertail. "On Medians of (Randomized) Pairwise Means" | [Home Page] | [PDF]

• Karl Cobbe, Oleg Klimov, Chris Hesse, Taehoon Kim, John Schulman. "Quantifying Generalization in Reinforcement Learning" | [Home Page] | [PDF]

• Eldan Cohen, Christopher Beck. "Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models" | [Home Page] | [PDF]

• Alon Cohen, Tomer Koren, Yishay Mansour. "Learning Linear-Quadratic Regulators Efficiently with only $\sqrtT$ Regret" | [Home Page] | [PDF]

• Jeremy Cohen, Elan Rosenfeld, Zico Kolter. "Certified Adversarial Robustness via Randomized Smoothing" | [Home Page] | [PDF]

• Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling. "Gauge Equivariant Convolutional Networks and the Icosahedral CNN" | [Home Page] | [PDF]

• Cédric Colas, Pierre Fournier, Mohamed Chetouani, Olivier Sigaud, Pierre-Yves Oudeyer. "CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning" | [Home Page] | [PDF]

• Ronan Collobert, Awni Hannun, Gabriel Synnaeve. "A fully differentiable beam search decoder" | [Home Page] | [PDF]

• Rob Cornish, Paul Vanetti, Alexandre Bouchard-Cote, George Deligiannidis, Arnaud Doucet. "Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets" | [Home Page] | [PDF]

• Juan Correa, Jin Tian, Elias Bareinboim. "Adjustment Criteria for Generalizing Experimental Findings" | [Home Page] | [PDF]

• Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Scott Yang. "Online Learning with Sleeping Experts and Feedback Graphs" | [Home Page] | [PDF]

• Corinna Cortes, Giulia Desalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile. "Active Learning with Disagreement Graphs" | [Home Page] | [PDF]

• Andrew Cotter, Maya Gupta, Heinrich Jiang, Erez Louidor, James Muller, Tamann Narayan, Serena Wang, Tao Zhu. "Shape Constraints for Set Functions" | [Home Page] | [PDF]

• Andrew Cotter, Maya Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Wang, Blake Woodworth, Seungil You. "Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints" | [Home Page] | [PDF]

• Zac Cranko, Aditya Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian Walder. "Monge blunts Bayes: Hardness Results for Adversarial Training" | [Home Page] | [PDF]

• Zac Cranko, Richard Nock. "Boosted Density Estimation Remastered" | [Home Page] | [PDF]

• Victoria Crawford, Alan Kuhnle, My Thai. "Submodular Cost Submodular Cover with an Approximate Oracle" | [Home Page] | [PDF]

• Elliot Creager, David Madras, Joern-Henrik Jacobsen, Marissa Weis, Kevin Swersky, Toniann Pitassi, Richard Zemel. "Flexibly Fair Representation Learning by Disentanglement" | [Home Page] | [PDF]

• Ashok Cutkosky. "Anytime Online-to-Batch, Optimism and Acceleration" | [Home Page] | [PDF]

• Ashok Cutkosky, Tamas Sarlos. "Matrix-Free Preconditioning in Online Learning" | [Home Page] | [PDF]

• Milan Cvitkovic, Günther Koliander. "Minimal Achievable Sufficient Statistic Learning" | [Home Page] | [PDF]

• Milan Cvitkovic, Badal Singh, Animashree Anandkumar. "Open Vocabulary Learning on Source Code with a Graph-Structured Cache" | [Home Page] | [PDF]

• Robert Dadashi, Adrien Ali Taiga, Nicolas Le Roux, Dale Schuurmans, Marc G. Bellemare. "The Value Function Polytope in Reinforcement Learning" | [Home Page] | [PDF]

• Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet. "Bayesian Optimization Meets Bayesian Optimal Stopping" | [Home Page] | [PDF]

• Christoph Dann, Lihong Li, Wei Wei, Emma Brunskill. "Policy Certificates: Towards Accountable Reinforcement Learning" | [Home Page] | [PDF]

• Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Re. "Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations" | [Home Page] | [PDF]

• Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher Re. "A Kernel Theory of Modern Data Augmentation" | [Home Page] | [PDF]

• Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau. "TarMAC: Targeted Multi-Agent Communication" | [Home Page] | [PDF]

• Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu. "Teaching a black-box learner" | [Home Page] | [PDF]

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• Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil. "Learning-to-Learn Stochastic Gradient Descent with Biased Regularization" | [Home Page] | [PDF]

• Onur Dereli, Ceyda Oğuz, Mehmet Gönen. "A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology" | [Home Page] | [PDF]

• Nichita Diaconu, Daniel Worrall. "Learning to Convolve: A Generalized Weight-Tying Approach" | [Home Page] | [PDF]

• Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart. "Sever: A Robust Meta-Algorithm for Stochastic Optimization" | [Home Page] | [PDF]

• Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan. "Approximated Oracle Filter Pruning for Destructive CNN Width Optimization" | [Home Page] | [PDF]

• Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Rene Vidal, Manolis Tsakiris, Daniel Robinson. "Noisy Dual Principal Component Pursuit" | [Home Page] | [PDF]

• Thinh Doan, Siva Maguluri, Justin Romberg. "Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Andreas Doerr, Michael Volpp, Marc Toussaint, Trimpe Sebastian, Christian Daniel. "Trajectory-Based Off-Policy Deep Reinforcement Learning" | [Home Page] | [PDF]

• Elvis Dohmatob. "Generalized No Free Lunch Theorem for Adversarial Robustness" | [Home Page] | [PDF]

• Simon Du, Wei Hu. "Width Provably Matters in Optimization for Deep Linear Neural Networks" | [Home Page] | [PDF]

• Simon Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miroslav Dudik, John Langford. "Provably efficient RL with Rich Observations via Latent State Decoding" | [Home Page] | [PDF]

• Simon Du, Jason Lee, Haochuan Li, Liwei Wang, Xiyu Zhai. "Gradient Descent Finds Global Minima of Deep Neural Networks" | [Home Page] | [PDF]

• Junliang Du, Antonio Linero. "Incorporating Grouping Information into Bayesian Decision Tree Ensembles" | [Home Page] | [PDF]

• Yilun Du, Karthic Narasimhan. "Task-Agnostic Dynamics Priors for Deep Reinforcement Learning" | [Home Page] | [PDF]

• Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David Parkes, Sai Srivatsa Ravindranath. "Optimal Auctions through Deep Learning" | [Home Page] | [PDF]

• Yonatan Dukler, Wuchen Li, Alex Lin, Guido Montufar. "Wasserstein of Wasserstein Loss for Learning Generative Models" | [Home Page] | [PDF]

• Lea Duncker, Gergo Bohner, Julien Boussard, Maneesh Sahani. "Learning interpretable continuous-time models of latent stochastic dynamical systems" | [Home Page] | [PDF]

• Charlie Nash, Conor Durkan. "Autoregressive Energy Machines" | [Home Page] | [PDF]

• Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron Elmore, Michael Franklin. "Band-limited Training and Inference for Convolutional Neural Networks" | [Home Page] | [PDF]

• Ashley Edwards, Himanshu Sahni, Yannick Schroecker, Charles Isbell. "Imitating Latent Policies from Observation" | [Home Page] | [PDF]

• Hubert Eichner, Tomer Koren, Brendan Mcmahan, Nathan Srebro, Kunal Talwar. "Semi-Cyclic Stochastic Gradient Descent" | [Home Page] | [PDF]

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• Ehsan Elhamifar. "Sequential Facility Location: Approximate Submodularity and Greedy Algorithm" | [Home Page] | [PDF]

• Alina Ene, Adrian Vladu. "Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares" | [Home Page] | [PDF]

• Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry. "Exploring the Landscape of Spatial Robustness" | [Home Page] | [PDF]

• Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia. "Cross-Domain 3D Equivariant Image Embeddings" | [Home Page] | [PDF]

• Christian Etmann, Sebastian Lunz, Peter Maass, Carola Schoenlieb. "On the Connection Between Adversarial Robustness and Saliency Map Interpretability" | [Home Page] | [PDF]

• Matthew Fahrbach, Vahab Mirrokni, Morteza Zadimoghaddam. "Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity" | [Home Page] | [PDF]

• Yifeng Fan, Zhizhen Zhao. "Multi-Frequency Vector Diffusion Maps" | [Home Page] | [PDF]

• Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm. "Stable-Predictive Optimistic Counterfactual Regret Minimization" | [Home Page] | [PDF]

• Gabriele Farina, Christian Kroer, Tuomas Sandholm. "Regret Circuits: Composability of Regret Minimizers" | [Home Page] | [PDF]

• Mehdi Fatemi, Shikhar Sharma, Harm Van Seijen, Samira Ebrahimi Kahou. "Dead-ends and Secure Exploration in Reinforcement Learning" | [Home Page] | [PDF]

• Ilya Feige. "Invariant-Equivariant Representation Learning for Multi-Class Data" | [Home Page] | [PDF]

• Vitaly Feldman, Roy Frostig, Moritz Hardt. "The advantages of multiple classes for reducing overfitting from test set reuse" | [Home Page] | [PDF]

• Raphael Feraud, Reda Alami, Romain Laroche. "Decentralized Exploration in Multi-Armed Bandits" | [Home Page] | [PDF]

• Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher. "Almost surely constrained convex optimization" | [Home Page] | [PDF]

• Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine. "Online Meta-Learning" | [Home Page] | [PDF]

• Marc Fischer, Mislav Balunovic, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, Martin Vechev. "DL2: Training and Querying Neural Networks with Logic" | [Home Page] | [PDF]

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• Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton. "Analyzing and Improving Representations with the Soft Nearest Neighbor Loss" | [Home Page] | [PDF]

• Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine. "Diagnosing Bottlenecks in Deep Q-learning Algorithms" | [Home Page] | [PDF]

• Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin. "MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement" | [Home Page] | [PDF]

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• Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang. "Deep Generative Learning via Variational Gradient Flow" | [Home Page] | [PDF]

• Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh. "Rate Distortion For Model Compression:From Theory To Practice" | [Home Page] | [PDF]

• Hongchang Gao, Jian Pei, Heng Huang. "Demystifying Dropout" | [Home Page] | [PDF]

• Feng Gao, Guy Wolf, Matthew Hirn. "Geometric Scattering for Graph Data Analysis" | [Home Page] | [PDF]

• Tingran Gao, Zhizhen Zhao. "Multi-Frequency Phase Synchronization" | [Home Page] | [PDF]

• Nidham Gazagnadou, Robert Gower, Joseph Salmon. "Optimal Mini-Batch and Step Sizes for SAGA" | [Home Page] | [PDF]

• Yonatan Geifman, Ran El-Yaniv. "SelectiveNet: A Deep Neural Network with an Integrated Reject Option" | [Home Page] | [PDF]

• Matthieu Geist, Bruno Scherrer, Olivier Pietquin. "A Theory of Regularized Markov Decision Processes" | [Home Page] | [PDF]

• Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare. "DeepMDP: Learning Continuous Latent Space Models for Representation Learning" | [Home Page] | [PDF]

• Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo. "Partially Linear Additive Gaussian Graphical Models" | [Home Page] | [PDF]

• Hossein Shokri Ghadikolaei, Hadi Ghauch, Carlo Fischione, Mikael Skoglund. "Learning and Data Selection in Big Datasets" | [Home Page] | [PDF]

• Mohsen Ghaffari, Silvio Lattanzi, Slobodan Mitrović. "Improved Parallel Algorithms for Density-Based Network Clustering" | [Home Page] | [PDF]

• Badih Ghazi, Rina Panigrahy, Joshua Wang. "Recursive Sketches for Modular Deep Learning" | [Home Page] | [PDF]

• Behrooz Ghorbani, Hamid Javadi, Andrea Montanari. "An Instability in Variational Inference for Topic Models" | [Home Page] | [PDF]

• Behrooz Ghorbani, Shankar Krishnan, Ying Xiao. "An Investigation into Neural Net Optimization via Hessian Eigenvalue Density" | [Home Page] | [PDF]

• Amirata Ghorbani, James Zou. "Data Shapley: Equitable Valuation of Data for Machine Learning" | [Home Page] | [PDF]

• Dar Gilboa, Sam Buchanan, John Wright. "Efficient Dictionary Learning with Gradient Descent" | [Home Page] | [PDF]

• Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvtiskii. "A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes" | [Home Page] | [PDF]

• Jon Gillick, Adam Roberts, Jesse Engel, Douglas Eck, David Bamman. "Learning to Groove with Inverse Sequence Transformations" | [Home Page] | [PDF]

• Justin Gilmer, Nicolas Ford, Nicholas Carlini, Ekin Cubuk. "Adversarial Examples Are a Natural Consequence of Test Error in Noise" | [Home Page] | [PDF]

• Jaime Roquero Gimenez, James Zou. "Discovering Conditionally Salient Features with Statistical Guarantees" | [Home Page] | [PDF]

• Ziv Goldfeld, Ewout Van Den Berg, Kristjan Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy. "Estimating Information Flow in Deep Neural Networks" | [Home Page] | [PDF]

• Adam Golinski, Frank Wood, Tom Rainforth. "Amortized Monte Carlo Integration" | [Home Page] | [PDF]

• Sreenivas Gollapudi, Debmalya Panigrahi. "Online Algorithms for Rent-Or-Buy with Expert Advice" | [Home Page] | [PDF]

• Alexander Golovnev, David Pal, Balazs Szorenyi. "The information-theoretic value of unlabeled data in semi-supervised learning" | [Home Page] | [PDF]

• Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tieyan Liu. "Efficient Training of BERT by Progressively Stacking" | [Home Page] | [PDF]

• Chengyue Gong, Jian Peng, Qiang Liu. "Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization" | [Home Page] | [PDF]

• Paula Gordaliza, Eustasio Del Barrio, Gamboa Fabrice, Jean-Michel Loubes. "Obtaining Fairness using Optimal Transport Theory" | [Home Page] | [PDF]

• Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez. "Combining parametric and nonparametric models for off-policy evaluation" | [Home Page] | [PDF]

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• Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner. "Multi-Object Representation Learning with Iterative Variational Inference" | [Home Page] | [PDF]

• Aditya Grover, Aaron Zweig, Stefano Ermon. "Graphite: Iterative Generative Modeling of Graphs" | [Home Page] | [PDF]

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• Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sebastien Racaniere, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap. "An Investigation of Model-Free Planning" | [Home Page] | [PDF]

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• Chuan Guo, Jacob Gardner, Yurong You, Andrew Gordon Wilson, Kilian Weinberger. "Simple Black-box Adversarial Attacks" | [Home Page] | [PDF]

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• Seungyul Han, Youngchul Sung. "Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning" | [Home Page] | [PDF]

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• Matthew Holland, Kazushi Ikeda. "Better generalization with less data using robust gradient descent" | [Home Page] | [PDF]

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• Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly. "Parameter-Efficient Transfer Learning for NLP" | [Home Page] | [PDF]

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• Feihu Huang, Songcan Chen, Heng Huang. "Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization" | [Home Page] | [PDF]

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• Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Bautista Martin, Shih-Yu Sun, Carlos Guestrin, Josh Susskind. "Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment" | [Home Page] | [PDF]

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• Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf. "Kernel Mean Matching for Content Addressability of GANs" | [Home Page] | [PDF]

• David John, Vincent Heuveline, Michael Schober. "GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver" | [Home Page] | [PDF]

• Kwang-Sung Jun, Rebecca Willett, Stephen Wright, Robert Nowak. "Bilinear Bandits with Low-rank Structure" | [Home Page] | [PDF]

• Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel Procaccia, Christos-Alexandros Psomas. "Statistical Foundations of Virtual Democracy" | [Home Page] | [PDF]

• Hiroshi Kajino. "Molecular Hypergraph Grammar with Its Application to Molecular Optimization" | [Home Page] | [PDF]

• Dimitris Kalimeris, Gal Kaplun, Yaron Singer. "Robust Influence Maximization for Hyperparametric Models" | [Home Page] | [PDF]

• Nathan Kallus. "Classifying Treatment Responders Under Causal Effect Monotonicity" | [Home Page] | [PDF]

• Ashwin Kalyan, Peter Anderson, Stefan Lee, Dhruv Batra. "Trainable Decoding of Sets of Sequences for Neural Sequence Models" | [Home Page] | [PDF]

• Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang, Akshay Krishnamurthy, Jeff Schneider, Barnabas Poczos. "Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments" | [Home Page] | [PDF]

• Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer. "Differentially Private Learning of Geometric Concepts" | [Home Page] | [PDF]

• Christos Kaplanis, Murray Shanahan, Claudia Clopath. "Policy Consolidation for Continual Reinforcement Learning" | [Home Page] | [PDF]

• Sai Praneeth Karimireddy, Quentin Rebjock, Sebastian Stich, Martin Jaggi. "Error Feedback Fixes SignSGD and other Gradient Compression Schemes" | [Home Page] | [PDF]

• Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra. "Riemannian adaptive stochastic gradient algorithms on matrix manifolds" | [Home Page] | [PDF]

• Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Wojciech Matusik. "Neural Inverse Knitting: From Images to Manufacturing Instructions" | [Home Page] | [PDF]

• Angelos Katharopoulos, Francois Fleuret. "Processing Megapixel Images with Deep Attention-Sampling Models" | [Home Page] | [PDF]

• Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis. "Robust Estimation of Tree Structured Gaussian Graphical Models" | [Home Page] | [PDF]

• Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras. "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking" | [Home Page] | [PDF]

• Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi. "Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity" | [Home Page] | [PDF]

• Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth. "Adaptive Scale-Invariant Online Algorithms for Learning Linear Models" | [Home Page] | [PDF]

• Tom Kenter, Vincent Wan, Chun-An Chan, Rob Clark, Jakub Vit. "CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network" | [Home Page] | [PDF]

• Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer. "Collaborative Evolutionary Reinforcement Learning" | [Home Page] | [PDF]

• Renata Khasanova, Pascal Frossard. "Geometry Aware Convolutional Filters for Omnidirectional Images Representation" | [Home Page] | [PDF]

• Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song. "EMI: Exploration with Mutual Information" | [Home Page] | [PDF]

• Sungwon Kim, Sang-Gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon. "FloWaveNet : A Generative Flow for Raw Audio" | [Home Page] | [PDF]

• Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim. "Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty" | [Home Page] | [PDF]

• Gi-Soo Kim, Myunghee Cho Paik. "Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model" | [Home Page] | [PDF]

• Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry Wasserman. "Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension" | [Home Page] | [PDF]

• Friso Kingma, Pieter Abbeel, Jonathan Ho. "Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables" | [Home Page] | [PDF]

• Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter Battaglia. "CompILE: Compositional Imitation Learning and Execution" | [Home Page] | [PDF]

• Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause. "Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces" | [Home Page] | [PDF]

• Ross Kleiman, David Page. "AUCμ: A Performance Metric for Multi-Class Machine Learning Models" | [Home Page] | [PDF]

• Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern. "Fair k-Center Clustering for Data Summarization" | [Home Page] | [PDF]

• Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern. "Guarantees for Spectral Clustering with Fairness Constraints" | [Home Page] | [PDF]

• Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin. "POPQORN: Quantifying Robustness of Recurrent Neural Networks" | [Home Page] | [PDF]

• Anastasia Koloskova, Sebastian Stich, Martin Jaggi. "Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication" | [Home Page] | [PDF]

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• Wouter Kool, Herke Van Hoof, Max Welling. "Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement" | [Home Page] | [PDF]

• Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia. "LIT: Learned Intermediate Representation Training for Model Compression" | [Home Page] | [PDF]

• Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton. "Similarity of Neural Network Representations Revisited" | [Home Page] | [PDF]

• Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel Dvurechensky, Alexander Gasnikov, Cesar Uribe. "On the Complexity of Approximating Wasserstein Barycenters" | [Home Page] | [PDF]

• Andrei Kulunchakov, Julien Mairal. "Estimate Sequences for Variance-Reduced Stochastic Composite Optimization" | [Home Page] | [PDF]

• Ravi Kumar, Rina Panigrahy, Ali Rahimi, David Woodruff. "Faster Algorithms for Binary Matrix Factorization" | [Home Page] | [PDF]

• Daniel Kunin, Jonathan Bloom, Aleksandrina Goeva, Cotton Seed. "Loss Landscapes of Regularized Linear Autoencoders" | [Home Page] | [PDF]

• Han-Wen Kuo, Yenson Lau, Yuqian Zhang, John Wright. "Geometry and Symmetry in Short-and-Sparse Deconvolution" | [Home Page] | [PDF]

• Karol Kurach, Mario Lučić, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly. "A Large-Scale Study on Regularization and Normalization in GANs" | [Home Page] | [PDF]

• Matt Kusner, Chris Russell, Joshua Loftus, Ricardo Silva. "Making Decisions that Reduce Discriminatory Impacts" | [Home Page] | [PDF]

• Branislav Kveton, Csaba Szepesvari, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh. "Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits" | [Home Page] | [PDF]

• Antoine Labatie. "Characterizing Well-Behaved vs. Pathological Deep Neural Networks" | [Home Page] | [PDF]

• Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer. "State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations" | [Home Page] | [PDF]

• Sylvain Lamprier. "A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion" | [Home Page] | [PDF]

• Joong-Ho Won, Jason Xu, Kenneth Lange. "Projection onto Minkowski Sums with Application to Constrained Learning" | [Home Page] | [PDF]

• Romain Laroche, Paul Trichelair, Remi Tachet Des Combes. "Safe Policy Improvement with Baseline Bootstrapping" | [Home Page] | [PDF]

• Silvio Lattanzi, Christian Sohler. "A Better k-means++ Algorithm via Local Search" | [Home Page] | [PDF]

• Marc Law, Renjie Liao, Jake Snell, Richard Zemel. "Lorentzian Distance Learning for Hyperbolic Representations" | [Home Page] | [PDF]

• Andrew Lawrence, Carl Henrik Ek, Neill Campbell. "DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures" | [Home Page] | [PDF]

• Yasin Abbasi-Yadkori, Peter Bartlett, Kush Bhatia, Nevena Lazic, Csaba Szepesvari, Gellert Weisz. "POLITEX: Regret Bounds for Policy Iteration using Expert Prediction" | [Home Page] | [PDF]

• Hoang Le, Cameron Voloshin, Yisong Yue. "Batch Policy Learning under Constraints" | [Home Page] | [PDF]

• Donghwan Lee, Niao He. "Target-Based Temporal-Difference Learning" | [Home Page] | [PDF]

• Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi Jaakkola. "Functional Transparency for Structured Data: a Game-Theoretic Approach" | [Home Page] | [PDF]

• Junhyun Lee, Inyeop Lee, Jaewoo Kang. "Self-Attention Graph Pooling" | [Home Page] | [PDF]

• Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, Yee Whye Teh. "Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks" | [Home Page] | [PDF]

• Ching-Pei Lee, Stephen Wright. "First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems" | [Home Page] | [PDF]

• Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin. "Robust Inference via Generative Classifiers for Handling Noisy Labels" | [Home Page] | [PDF]

• Yifan Lei, Qiang Huang, Mohan Kankanhalli, Anthony Tung. "Sublinear Time Nearest Neighbor Search over Generalized Weighted Space" | [Home Page] | [PDF]

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• Mario Lezcano-Casado, David Martı́nez-Rubio. "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group" | [Home Page] | [PDF]

• Yingzhen Li, John Bradshaw, Yash Sharma. "Are Generative Classifiers More Robust to Adversarial Attacks?" | [Home Page] | [PDF]

• Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu. "Sublinear quantum algorithms for training linear and kernel-based classifiers" | [Home Page] | [PDF]

• Huaiyu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu. "LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning" | [Home Page] | [PDF]

• Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli. "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" | [Home Page] | [PDF]

• Yang Li, Lukasz Kaiser, Samy Bengio, Si Si. "Area Attention" | [Home Page] | [PDF]

• Shuai Li, Tor Lattimore, Csaba Szepesvari. "Online Learning to Rank with Features" | [Home Page] | [PDF]

• Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong. "NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks" | [Home Page] | [PDF]

• Zehang Li, Tyler Mccormick, Samuel Clark. "Bayesian Joint Spike-and-Slab Graphical Lasso" | [Home Page] | [PDF]

• Yuan Li, Benjamin Rubinstein, Trevor Cohn. "Exploiting Worker Correlation for Label Aggregation in Crowdsourcing" | [Home Page] | [PDF]

• Juncheng Li, Frank Schmidt, Zico Kolter. "Adversarial camera stickers: A physical camera-based attack on deep learning systems" | [Home Page] | [PDF]

• Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic. "Towards a Unified Analysis of Random Fourier Features" | [Home Page] | [PDF]

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• Qiuwei Li, Zhihui Zhu, Gongguo Tang. "Alternating Minimizations Converge to Second-Order Optimal Solutions" | [Home Page] | [PDF]

• Nikolaos Liakopoulos, Apostolos Destounis, Georgios Paschos, Thrasyvoulos Spyropoulos, Panayotis Mertikopoulos. "Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints" | [Home Page] | [PDF]

• Jan Malte Lichtenberg, Özgür Şimşek. "Regularization in directable environments with application to Tetris" | [Home Page] | [PDF]

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• Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt. "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations" | [Home Page] | [PDF]

• Yanli Liu, Fei Feng, Wotao Yin. "Acceleration of SVRG and Katyusha X by Inexact Preconditioning" | [Home Page] | [PDF]

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• Chang Liu, Jingwei Zhuo, Jun Zhu. "Understanding MCMC Dynamics as Flows on the Wasserstein Space" | [Home Page] | [PDF]

• Antoine Liutkus, Umut Simsekli, Szymon Majewski, Alain Durmus, Fabian-Robert Stöter. "Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions" | [Home Page] | [PDF]

• Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Raetsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem. "Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations" | [Home Page] | [PDF]

• Ben London, Ted Sandler. "Bayesian Counterfactual Risk Minimization" | [Home Page] | [PDF]

• Songtao Lu, Mingyi Hong, Zhengdao Wang. "PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization" | [Home Page] | [PDF]

• Sidi Lu, Jiayuan Mao, Joshua Tenenbaum, Jiajun Wu. "Neurally-Guided Structure Inference" | [Home Page] | [PDF]

• Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang. "Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards" | [Home Page] | [PDF]

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• Carlo Lucibello, Luca Saglietti, Yue Lu. "Generalized Approximate Survey Propagation for High-Dimensional Estimation" | [Home Page] | [PDF]

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• Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto. "Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction" | [Home Page] | [PDF]

• Ping Luo, Peng Zhanglin, Shao Wenqi, Zhang Ruimao, Ren Jiamin, Wu Lingyun. "Differentiable Dynamic Normalization for Learning Deep Representation" | [Home Page] | [PDF]

• Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu. "Disentangled Graph Convolutional Networks" | [Home Page] | [PDF]

• Chao Ma, Yingzhen Li, Jose Miguel Hernandez-Lobato. "Variational Implicit Processes" | [Home Page] | [PDF]

• Chao Ma, Sebastian Tschiatschek, Konstantina Palla, Jose Miguel Hernandez-Lobato, Sebastian Nowozin, Cheng Zhang. "EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE" | [Home Page] | [PDF]

• Måns Magnusson, Michael Andersen, Johan Jonasson, Aki Vehtari. "Bayesian leave-one-out cross-validation for large data" | [Home Page] | [PDF]

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• Niru Maheswaranathan, Luke Metz, George Tucker, Dami Choi, Jascha Sohl-Dickstein. "Guided evolutionary strategies: augmenting random search with surrogate gradients" | [Home Page] | [PDF]

• Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed. "Data Poisoning Attacks in Multi-Party Learning" | [Home Page] | [PDF]

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• Vien Mai, Mikael Johansson. "Curvature-Exploiting Acceleration of Elastic Net Computations" | [Home Page] | [PDF]

• Ashok Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh. "Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms" | [Home Page] | [PDF]

• Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon. "Calibrated Model-Based Deep Reinforcement Learning" | [Home Page] | [PDF]

• Timothy Arthur Mann, Sven Gowal, Andras Gyorgy, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, Prav Srinivasan. "Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems" | [Home Page] | [PDF]

• Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborova. "Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models" | [Home Page] | [PDF]

• Jingkai Mao, Jakob Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson. "A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs" | [Home Page] | [PDF]

• Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak. "Adversarial Generation of Time-Frequency Features with application in audio synthesis" | [Home Page] | [PDF]

• Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman. "On the Universality of Invariant Networks" | [Home Page] | [PDF]

• Kaspar Märtens, Kieran Campbell, Christopher Yau. "Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models" | [Home Page] | [PDF]

• Jeremie Mary, Clément Calauzènes, Noureddine El Karoui. "Fairness-Aware Learning for Continuous Attributes and Treatments" | [Home Page] | [PDF]

• Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund. "Optimal Minimal Margin Maximization with Boosting" | [Home Page] | [PDF]

• Emile Mathieu, Tom Rainforth, N Siddharth, Yee Whye Teh. "Disentangling Disentanglement in Variational Autoencoders" | [Home Page] | [PDF]

• Pierre-Alexandre Mattei, Jes Frellsen. "MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets" | [Home Page] | [PDF]

• Borislav Mavrin, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu. "Distributional Reinforcement Learning for Efficient Exploration" | [Home Page] | [PDF]

• Ryan Mckenna, Daniel Sheldon, Gerome Miklau. "Graphical-model based estimation and inference for differential privacy" | [Home Page] | [PDF]

• Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau, Edward Meeds. "Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems" | [Home Page] | [PDF]

• Elisa Celis, Anay Mehrotra, Nisheeth Vishnoi. "Toward Controlling Discrimination in Online Ad Auctions" | [Home Page] | [PDF]

• Nikhil Mehta, Lawrence Carin Duke, Piyush Rai. "Stochastic Blockmodels meet Graph Neural Networks" | [Home Page] | [PDF]

• Hongyuan Mei, Guanghui Qin, Jason Eisner. "Imputing Missing Events in Continuous-Time Event Streams" | [Home Page] | [PDF]

• Eldad Meller, Alexander Finkelstein, Uri Almog, Mark Grobman. "Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization" | [Home Page] | [PDF]

• Facundo Memoli, Zane Smith, Zhengchao Wan. "The Wasserstein Transform" | [Home Page] | [PDF]

• Charith Mendis, Alex Renda, Dr.Saman Amarasinghe, Michael Carbin. "Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks" | [Home Page] | [PDF]

• Arthur Mensch, Mathieu Blondel, Gabriel Peyré. "Geometric Losses for Distributional Learning" | [Home Page] | [PDF]

• Pedro Mercado, Francesco Tudisco, Matthias Hein. "Spectral Clustering of Signed Graphs via Matrix Power Means" | [Home Page] | [PDF]

• Michael Metel, Akiko Takeda. "Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization" | [Home Page] | [PDF]

• Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli. "Reinforcement Learning in Configurable Continuous Environments" | [Home Page] | [PDF]

• Luke Metz, Niru Maheswaranathan, Jeremy Nixon, Daniel Freeman, Jascha Sohl-Dickstein. "Understanding and correcting pathologies in the training of learned optimizers" | [Home Page] | [PDF]

• Raphael Meyer, Jean Honorio. "Optimality Implies Kernel Sum Classifiers are Statistically Efficient" | [Home Page] | [PDF]

• Poorya Mianjy, Raman Arora. "On Dropout and Nuclear Norm Regularization" | [Home Page] | [PDF]

• Andrew Miller, Ziad Obermeyer, John Cunningham, Sendhil Mullainathan. "Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography" | [Home Page] | [PDF]

• Ardalan Mirshani, Matthew Reimherr, Aleksandra Slavković. "Formal Privacy for Functional Data with Gaussian Perturbations" | [Home Page] | [PDF]

• Gal Mishne, Eric Chi, Ronald Coifman. "Co-manifold learning with missing data" | [Home Page] | [PDF]

• Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh. "Agnostic Federated Learning" | [Home Page] | [PDF]

• Thomas Möllenhoff, Daniel Cremers. "Flat Metric Minimization with Applications in Generative Modeling" | [Home Page] | [PDF]

• Seungyong Moon, Gaon An, Hyun Oh Song. "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" | [Home Page] | [PDF]

• Hesham Mostafa, Xin Wang. "Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization" | [Home Page] | [PDF]

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• Ryan Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro. "Relational Pooling for Graph Representations" | [Home Page] | [PDF]

• Razieh Nabi, Daniel Malinsky, Ilya Shpitser. "Learning Optimal Fair Policies" | [Home Page] | [PDF]

• Mor Shpigel Nacson, Suriya Gunasekar, Jason Lee, Nathan Srebro, Daniel Soudry. "Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models" | [Home Page] | [PDF]

• Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama. "A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning" | [Home Page] | [PDF]

• Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli. "SGD without Replacement: Sharper Rates for General Smooth Convex Functions" | [Home Page] | [PDF]

• Eric Nalisnick, Jose Miguel Hernandez-Lobato, Padhraic Smyth. "Dropout as a Structured Shrinkage Prior" | [Home Page] | [PDF]

• Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, Balaji Lakshminarayanan. "Hybrid Models with Deep and Invertible Features" | [Home Page] | [PDF]

• Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencia, Sunghyun Park, Ruhi Sarikaya, Johannes Fürnkranz. "Learning Context-dependent Label Permutations for Multi-label Classification" | [Home Page] | [PDF]

• Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty. "Zero-Shot Knowledge Distillation in Deep Networks" | [Home Page] | [PDF]

• Amin Nayebi, Alexander Munteanu, Matthias Poloczek. "A Framework for Bayesian Optimization in Embedded Subspaces" | [Home Page] | [PDF]

• Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani. "Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements" | [Home Page] | [PDF]

• Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi. "Safe Grid Search with Optimal Complexity" | [Home Page] | [PDF]

• Thomas Nedelec, Noureddine El Karoui, Vianney Perchet. "Learning to bid in revenue-maximizing auctions" | [Home Page] | [PDF]

• Quynh Nguyen. "On Connected Sublevel Sets in Deep Learning" | [Home Page] | [PDF]

• Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox. "Anomaly Detection With Multiple-Hypotheses Predictions" | [Home Page] | [PDF]

• Than Huy Nguyen, Umut Simsekli, Gael Richard. "Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization" | [Home Page] | [PDF]

• Rajbir Nirwan, Nils Bertschinger. "Rotation Invariant Householder Parameterization for Bayesian PCA" | [Home Page] | [PDF]

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• Michael Oberst, David Sontag. "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" | [Home Page] | [PDF]

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• Wenpin Tang. "Mallows ranking models: maximum likelihood estimate and regeneration" | [Home Page] | [PDF]

• Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi. "Correlated Variational Auto-Encoders" | [Home Page] | [PDF]

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• Ryutaro Tanno, Kai Arulkumaran, Daniel Alexander, Antonio Criminisi, Aditya Nori. "Adaptive Neural Trees" | [Home Page] | [PDF]

• Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin Duke. "Variational Annealing of GANs: A Langevin Perspective" | [Home Page] | [PDF]

• Zenna Tavares, Javier Burroni, Edgar Minasyan, Armando Solar-Lezama, Rajesh Ranganath. "Predicate Exchange: Inference with Declarative Knowledge" | [Home Page] | [PDF]

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• Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick. "ELF OpenGo: an analysis and open reimplementation of AlphaZero" | [Home Page] | [PDF]

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• Manolis Tsakiris, Liangzu Peng. "Homomorphic Sensing" | [Home Page] | [PDF]

• Ryan Turner, Jane Hung, Eric Frank, Yunus Saatchi, Jason Yosinski. "Metropolis-Hastings Generative Adversarial Networks" | [Home Page] | [PDF]

• Ruo-Chun Tzeng, Shan-Hung Wu. "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" | [Home Page] | [PDF]

• Jalaj Upadhyay. "Sublinear Space Private Algorithms Under the Sliding Window Model" | [Home Page] | [PDF]

• Berk Ustun, Yang Liu, David Parkes. "Fairness without Harm: Decoupled Classifiers with Preference Guarantees" | [Home Page] | [PDF]

• Viivi Uurtio, Sahely Bhadra, Juho Rousu. "Large-Scale Sparse Kernel Canonical Correlation Analysis" | [Home Page] | [PDF]

• Marten Van Dijk, Lam Nguyen, Phuong Ha Nguyen, Dzung Phan. "Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD" | [Home Page] | [PDF]

• Benjamin Van Niekerk, Steven James, Adam Earle, Benjamin Rosman. "Composing Value Functions in Reinforcement Learning" | [Home Page] | [PDF]

• Francisco Vargas, Kamen Brestnichki, Nils Hammerla. "Model Comparison for Semantic Grouping" | [Home Page] | [PDF]

• Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Re. "Learning Dependency Structures for Weak Supervision Models" | [Home Page] | [PDF]

• Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh. "Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering" | [Home Page] | [PDF]

• Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio. "Manifold Mixup: Better Representations by Interpolating Hidden States" | [Home Page] | [PDF]

• Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham Kakade. "Maximum Likelihood Estimation for Learning Populations of Parameters" | [Home Page] | [PDF]

• Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel. "Understanding Priors in Bayesian Neural Networks at the Unit Level" | [Home Page] | [PDF]

• Nikos Vlassis, Aurelien Bibaut, Maria Dimakopoulou, Tony Jebara. "On the Design of Estimators for Bandit Off-Policy Evaluation" | [Home Page] | [PDF]

• Aleksei Ustimenko, Aleksandr Vorobev, Gleb Gusev, Pavel Serdyukov. "Learning to select for a predefined ranking" | [Home Page] | [PDF]

• Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne. "On the Limitations of Representing Functions on Sets" | [Home Page] | [PDF]

• Ian Walker, Ben Glocker. "Graph Convolutional Gaussian Processes" | [Home Page] | [PDF]

• Tong Wang. "Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute" | [Home Page] | [PDF]

• Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou. "Convolutional Poisson Gamma Belief Network" | [Home Page] | [PDF]

• Di Wang, Changyou Chen, Jinhui Xu. "Differentially Private Empirical Risk Minimization with Non-convex Loss Functions" | [Home Page] | [PDF]

• Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris. "Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation" | [Home Page] | [PDF]

• Po-Wei Wang, Priya Donti, Bryan Wilder, Zico Kolter. "SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver" | [Home Page] | [PDF]

• Dilin Wang, Chengyue Gong, Qiang Liu. "Improving Neural Language Modeling via Adversarial Training" | [Home Page] | [PDF]

• Chaoqi Wang, Roger Grosse, Sanja Fidler, Guodong Zhang. "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" | [Home Page] | [PDF]

• Dilin Wang, Qiang Liu. "Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models" | [Home Page] | [PDF]

• Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu. "On the Convergence and Robustness of Adversarial Training" | [Home Page] | [PDF]

• Cheng Wang, Mathias Niepert. "State-Regularized Recurrent Neural Networks" | [Home Page] | [PDF]

• Yuyang Wang, Alex Smola, Danielle Maddix, Jan Gasthaus, Dean Foster, Tim Januschowski. "Deep Factors for Forecasting" | [Home Page] | [PDF]

• Hao Wang, Berk Ustun, Flavio Calmon. "Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions" | [Home Page] | [PDF]

• Di Wang, Jinhui Xu. "On Sparse Linear Regression in the Local Differential Privacy Model" | [Home Page] | [PDF]

• Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. "Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random" | [Home Page] | [PDF]

• Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher. "On the Generalization Gap in Reparameterizable Reinforcement Learning" | [Home Page] | [PDF]

• Shengjie Wang, Tianyi Zhou, Jeff Bilmes. "Bias Also Matters: Bias Attribution for Deep Neural Network Explanation" | [Home Page] | [PDF]

• Shengjie Wang, Tianyi Zhou, Jeff Bilmes. "Jumpout : Improved Dropout for Deep Neural Networks with ReLUs" | [Home Page] | [PDF]

• Rachel Ward, Xiaoxia Wu, Leon Bottou. "AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes" | [Home Page] | [PDF]

• Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Gunluk. "Generalized Linear Rule Models" | [Home Page] | [PDF]

• Xiaohan Wei, Zhuoran Yang, Zhaoran Wang. "On the statistical rate of nonlinear recovery in generative models with heavy-tailed data" | [Home Page] | [PDF]

• Gellert Weisz, Andras Gyorgy, Csaba Szepesvari. "CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration" | [Home Page] | [PDF]

• Sean Welleck, Kianté Brantley, Hal Daumé Iii, Kyunghyun Cho. "Non-Monotonic Sequential Text Generation" | [Home Page] | [PDF]

• Lily Weng, Pin-Yu Chen, Lam Nguyen, Mark Squillante, Akhilan Boopathy, Ivan Oseledets, Luca Daniel. "PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach" | [Home Page] | [PDF]

• Li Wenliang, Danica J. Sutherland, Heiko Strathmann, Arthur Gretton. "Learning deep kernels for exponential family densities" | [Home Page] | [PDF]

• Max Westphal, Werner Brannath. "Improving Model Selection by Employing the Test Data" | [Home Page] | [PDF]

• Jacob Whitehill, Anand Ramakrishnan. "Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth" | [Home Page] | [PDF]

• Christian Wildner, Heinz Koeppl. "Moment-Based Variational Inference for Markov Jump Processes" | [Home Page] | [PDF]

• William Wilkinson, Michael Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin. "End-to-End Probabilistic Inference for Nonstationary Audio Analysis" | [Home Page] | [PDF]

• Robert Williamson, Aditya Menon. "Fairness risk measures" | [Home Page] | [PDF]

• Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen. "Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation" | [Home Page] | [PDF]

• Eric Wong, Frank Schmidt, Zico Kolter. "Wasserstein Adversarial Examples via Projected Sinkhorn Iterations" | [Home Page] | [PDF]

• Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama. "Imitation Learning from Imperfect Demonstration" | [Home Page] | [PDF]

• Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar. "Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling" | [Home Page] | [PDF]

• Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou. "Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin" | [Home Page] | [PDF]

• Yan Wu, Mihaela Rosca, Timothy Lillicrap. "Deep Compressed Sensing" | [Home Page] | [PDF]

• Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Weinberger. "Simplifying Graph Convolutional Networks" | [Home Page] | [PDF]

• Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary Lipton. "Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment" | [Home Page] | [PDF]

• Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha. "On Scalable and Efficient Computation of Large Scale Optimal Transport" | [Home Page] | [PDF]

• Cong Xie, Sanmi Koyejo, Indranil Gupta. "Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance" | [Home Page] | [PDF]

• Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin. "Differentiable Linearized ADMM" | [Home Page] | [PDF]

• Hanwen Xing, Geoff Nicholls, Jeong Lee. "Calibrated Approximate Bayesian Inference" | [Home Page] | [PDF]

• Jason Xu, Kenneth Lange. "Power k-Means Clustering" | [Home Page] | [PDF]

• Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin Duke. "Gromov-Wasserstein Learning for Graph Matching and Node Embedding" | [Home Page] | [PDF]

• Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang. "Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence" | [Home Page] | [PDF]

• Kelvin Xu, Ellis Ratner, Anca Dragan, Sergey Levine, Chelsea Finn. "Learning a Prior over Intent via Meta-Inverse Reinforcement Learning" | [Home Page] | [PDF]

• Kai Xu, Akash Srivastava, Charles Sutton. "Variational Russian Roulette for Deep Bayesian Nonparametrics" | [Home Page] | [PDF]

• Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew Mccallum. "Supervised Hierarchical Clustering with Exponential Linkage" | [Home Page] | [PDF]

• Kaiyu Yang, Jia Deng. "Learning to Prove Theorems via Interacting with Proof Assistants" | [Home Page] | [PDF]

• Lin Yang, Mengdi Wang. "Sample-Optimal Parametric Q-Learning Using Linearly Additive Features" | [Home Page] | [PDF]

• Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" | [Home Page] | [PDF]

• Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Chris De Sa. "SWALP : Stochastic Weight Averaging in Low Precision Training" | [Home Page] | [PDF]

• Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu. "ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation" | [Home Page] | [PDF]

• Quanming Yao, James Tin-Yau Kwok, Bo Han. "Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations" | [Home Page] | [PDF]

• Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li. "Hierarchically Structured Meta-learning" | [Home Page] | [PDF]

• Taisuke Yasuda, David Woodruff, Manuel Fernandez. "Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering" | [Home Page] | [PDF]

• Jong Chul Ye, Woon Kyoung Sung. "Understanding Geometry of Encoder-Decoder CNNs" | [Home Page] | [PDF]

• Dong Yin, Yudong Chen, Ramchandran Kannan, Peter Bartlett. "Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning" | [Home Page] | [PDF]

• Dong Yin, Ramchandran Kannan, Peter Bartlett. "Rademacher Complexity for Adversarially Robust Generalization" | [Home Page] | [PDF]

• Mingzhang Yin, Yuguang Yue, Mingyuan Zhou. "ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables" | [Home Page] | [PDF]

• Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter. "NAS-Bench-101: Towards Reproducible Neural Architecture Search" | [Home Page] | [PDF]

• Sung Whan Yoon, Jun Seo, Jaekyun Moon. "TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning" | [Home Page] | [PDF]

• Kaichao You, Ximei Wang, Mingsheng Long, Michael Jordan. "Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Jiaxuan You, Rex Ying, Jure Leskovec. "Position-aware Graph Neural Networks" | [Home Page] | [PDF]

• Halley Young, Osbert Bastani, Mayur Naik. "Learning Neurosymbolic Generative Models via Program Synthesis" | [Home Page] | [PDF]

• Yue Yu, Jie Chen, Tian Gao, Mo Yu. "DAG-GNN: DAG Structure Learning with Graph Neural Networks" | [Home Page] | [PDF]

• Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor Tsang, Masashi Sugiyama. "How does Disagreement Help Generalization against Label Corruption?" | [Home Page] | [PDF]

• Hao Yu, Rong Jin. "On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization" | [Home Page] | [PDF]

• Hao Yu, Rong Jin, Sen Yang. "On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization" | [Home Page] | [PDF]

• Lantao Yu, Jiaming Song, Stefano Ermon. "Multi-Agent Adversarial Inverse Reinforcement Learning" | [Home Page] | [PDF]

• Chen Yu, Hanlin Tang, Cedric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu. "Distributed Learning over Unreliable Networks" | [Home Page] | [PDF]

• Jianjun Yuan, Andrew Lamperski. "Online Adaptive Principal Component Analysis and Its extensions" | [Home Page] | [PDF]

• Jinyang Yuan, Bin Li, Xiangyang Xue. "Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation" | [Home Page] | [PDF]

• Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun. "Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory" | [Home Page] | [PDF]

• Jihun Yun, Peng Zheng, Eunho Yang, Aurelie Lozano, Aleksandr Aravkin. "Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning" | [Home Page] | [PDF]

• Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni. "Bayesian Nonparametric Federated Learning of Neural Networks" | [Home Page] | [PDF]

• Mikhail Yurochkin, Aritra Guha, Yuekai Sun, Xuanlong Nguyen. "Dirichlet Simplex Nest and Geometric Inference" | [Home Page] | [PDF]

• Alp Yurtsever, Olivier Fercoq, Volkan Cevher. "A Conditional-Gradient-Based Augmented Lagrangian Framework" | [Home Page] | [PDF]

• Alp Yurtsever, Suvrit Sra, Volkan Cevher. "Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator" | [Home Page] | [PDF]

• Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari. "Context-Aware Zero-Shot Learning for Object Recognition" | [Home Page] | [PDF]

• Andrea Zanette, Emma Brunskill. "Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds" | [Home Page] | [PDF]

• Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao. "Global Convergence of Block Coordinate Descent in Deep Learning" | [Home Page] | [PDF]

• Richard Zhang. "Making Convolutional Networks Shift-Invariant Again" | [Home Page] | [PDF]

• Chicheng Zhang, Alekh Agarwal, Hal Daumé Iii, John Langford, Sahand Negahban. "Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback" | [Home Page] | [PDF]

• Hanrui Zhang, Yu Cheng, Vincent Conitzer. "When Samples Are Strategically Selected" | [Home Page] | [PDF]

• Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena. "Self-Attention Generative Adversarial Networks" | [Home Page] | [PDF]

• Guo Zhang, Hao He, Dina Katabi. "Circuit-GNN: Graph Neural Networks for Distributed Circuit Design" | [Home Page] | [PDF]

• Songyang Zhang, Xuming He, Shipeng Yan. "LatentGNN: Learning Efficient Non-local Relations for Visual Recognition" | [Home Page] | [PDF]

• Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, Hongdong Li. "Neural Collaborative Subspace Clustering" | [Home Page] | [PDF]

• Xiao Zhang, Shizhong Liao. "Incremental Randomized Sketching for Online Kernel Learning" | [Home Page] | [PDF]

• Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael Jordan. "Bridging Theory and Algorithm for Domain Adaptation" | [Home Page] | [PDF]

• Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou. "Adaptive Regret of Convex and Smooth Functions" | [Home Page] | [PDF]

• Aonan Zhang, John Paisley. "Random Function Priors for Correlation Modeling" | [Home Page] | [PDF]

• Fei Zhang, Guangming Shi. "Co-Representation Network for Generalized Zero-Shot Learning" | [Home Page] | [PDF]

• Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew Johnson, Sergey Levine. "SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning" | [Home Page] | [PDF]

• Junyu Zhang, Lin Xiao. "A Composite Randomized Incremental Gradient Method" | [Home Page] | [PDF]

• Chenyang Zhang, Guosheng Yin. "Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models" | [Home Page] | [PDF]

• Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, Michael Jordan. "Theoretically Principled Trade-off between Robustness and Accuracy" | [Home Page] | [PDF]

• Yunbo Zhang, Wenhao Yu, Greg Turk. "Learning Novel Policies For Tasks" | [Home Page] | [PDF]

• Kai Zhang, Sheng Zhang, Jun Liu, Jun Wang, Jie Zhang. "Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization" | [Home Page] | [PDF]

• Tianyuan Zhang, Zhanxing Zhu. "Interpreting Adversarially Trained Convolutional Neural Networks" | [Home Page] | [PDF]

• Martin Zhang, James Zou, David Tse. "Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits" | [Home Page] | [PDF]

• Han Zhao, Remi Tachet Des Combes, Kun Zhang, Geoffrey Gordon. "On Learning Invariant Representations for Domain Adaptation" | [Home Page] | [PDF]

• Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya Gupta. "Metric-Optimized Example Weights" | [Home Page] | [PDF]

• Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Chris De Sa, Zhiru Zhang. "Improving Neural Network Quantization without Retraining using Outlier Channel Splitting" | [Home Page] | [PDF]

• Rui Zhao, Xudong Sun, Volker Tresp. "Maximum Entropy-Regularized Multi-Goal Reinforcement Learning" | [Home Page] | [PDF]

• Baojian Zhou, Feng Chen, Yiming Ying. "Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization" | [Home Page] | [PDF]

• Dongruo Zhou, Quanquan Gu. "Lower Bounds for Smooth Nonconvex Finite-Sum Optimization" | [Home Page] | [PDF]

• Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang. "Lipschitz Generative Adversarial Nets" | [Home Page] | [PDF]

• Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao. "Toward Understanding the Importance of Noise in Training Neural Networks" | [Home Page] | [PDF]

• Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan. "BayesNAS: A Bayesian Approach for Neural Architecture Search" | [Home Page] | [PDF]

• Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein. "Transferable Clean-Label Poisoning Attacks on Deep Neural Nets" | [Home Page] | [PDF]

• Chunjiang Zhu, Sabine Storandt, Kam-Yiu Lam, Song Han, Jinbo Bi. "Improved Dynamic Graph Learning through Fault-Tolerant Sparsification" | [Home Page] | [PDF]

• Yuqing Zhu, Yu-Xiang Wang. "Poission Subsampled Rényi Differential Privacy" | [Home Page] | [PDF]

• Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama. "Learning Classifiers for Target Domain with Limited or No Labels" | [Home Page] | [PDF]

• Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma. "The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects" | [Home Page] | [PDF]

• Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona. "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization" | [Home Page] | [PDF]

• Zachary Ziegler, Alexander Rush. "Latent Normalizing Flows for Discrete Sequences" | [Home Page] | [PDF]

• Julian Zimmert, Haipeng Luo, Chen-Yu Wei. "Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously" | [Home Page] | [PDF]

• Luisa Zintgraf, Kyriacos Shiarli, Vitaly Kurin, Katja Hofmann, Shimon Whiteson. "Fast Context Adaptation via Meta-Learning" | [Home Page] | [PDF]

• Tijana Zrnic, Moritz Hardt. "Natural Analysts in Adaptive Data Analysis" | [Home Page] | [PDF]