icml2020.md

ICML2020

• Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White. "Selective Dyna-Style Planning Under Limited Model Capacity" | [Home Page] | [PDF]

• Abbas Abdolmaleki, Sandy Huang, Leonard Hasenclever, Michael Neunert, Francis Song, Martina Zambelli, Murilo Martins, Nicolas Heess, Raia Hadsell, Martin Riedmiller. "A distributional view on multi-objective policy optimization" | [Home Page] | [PDF]

• Marc Abeille, Alessandro Lazaric. "Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation" | [Home Page] | [PDF]

• Pierre Ablin, Gabriel Peyré, Thomas Moreau. "Super-efficiency of automatic differentiation for functions defined as a minimum" | [Home Page] | [PDF]

• Vinayak Abrol, Pulkit Sharma. "A Geometric Approach to Archetypal Analysis via Sparse Projections" | [Home Page] | [PDF]

• Jayadev Acharya, Kallista Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun. "Context Aware Local Differential Privacy" | [Home Page] | [PDF]

• Raghavendra Addanki, Shiva Kasiviswanathan, Andrew Mcgregor, Cameron Musco. "Efficient Intervention Design for Causal Discovery with Latents" | [Home Page] | [PDF]

• Ben Adlam, Jeffrey Pennington. "The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization" | [Home Page] | [PDF]

• Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil. "Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions" | [Home Page] | [PDF]

• Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu. "Boosting for Control of Dynamical Systems" | [Home Page] | [PDF]

• Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi. "An Optimistic Perspective on Offline Reinforcement Learning" | [Home Page] | [PDF]

• Rohit Agrawal, Thibaut Horel. "Optimal Bounds between f-Divergences and Integral Probability Metrics" | [Home Page] | [PDF]

• Ali Ahmaditeshnizi, Saber Salehkaleybar, Negar Kiyavash. "LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments" | [Home Page] | [PDF]

• Sungsoo Ahn, Younggyo Seo, Jinwoo Shin. "Learning What to Defer for Maximum Independent Sets" | [Home Page] | [PDF]

• Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, Amit Dhurandhar. "Invariant Risk Minimization Games" | [Home Page] | [PDF]

• Laurence Aitchison. "Why bigger is not always better: on finite and infinite neural networks" | [Home Page] | [PDF]

• Ahmed Alaa, Mihaela Van Der Schaar. "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions" | [Home Page] | [PDF]

• Ahmed Alaa, Mihaela Van Der Schaar. "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions" | [Home Page] | [PDF]

• Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher. "Random extrapolation for primal-dual coordinate descent" | [Home Page] | [PDF]

• Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher. "A new regret analysis for Adam-type algorithms" | [Home Page] | [PDF]

• Reda Alami, Odalric Maillard, Raphael Feraud. "Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay" | [Home Page] | [PDF]

• Amr Alexandari, Anshul Kundaje, Avanti Shrikumar. "Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation" | [Home Page] | [PDF]

• Alnur Ali, Edgar Dobriban, Ryan Tibshirani. "The Implicit Regularization of Stochastic Gradient Flow for Least Squares" | [Home Page] | [PDF]

• Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav. "Structural Language Models of Code" | [Home Page] | [PDF]

• Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, Günter Neumann. "LowFER: Low-rank Bilinear Pooling for Link Prediction" | [Home Page] | [PDF]

• Ron Amit, Ron Meir, Kamil Ciosek. "Discount Factor as a Regularizer in Reinforcement Learning" | [Home Page] | [PDF]

• Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida. "Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"" | [Home Page] | [PDF]

• Brandon Amos, Denis Yarats. "The Differentiable Cross-Entropy Method" | [Home Page] | [PDF]

• Keerti Anand, Rong Ge, Debmalya Panigrahi. "Customizing ML Predictions for Online Algorithms" | [Home Page] | [PDF]

• Christopher Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel. "Fairwashing explanations with off-manifold detergent" | [Home Page] | [PDF]

• Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D Sculley. "Population-Based Black-Box Optimization for Biological Sequence Design" | [Home Page] | [PDF]

• Ivan Anokhin, Dmitry Yarotsky. "Low-loss connection of weight vectors: distribution-based approaches" | [Home Page] | [PDF]

• Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon. "Online metric algorithms with untrusted predictions" | [Home Page] | [PDF]

• Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian. "NADS: Neural Architecture Distribution Search for Uncertainty Awareness" | [Home Page] | [PDF]

• Sanjeev Arora, Simon Du, Sham Kakade, Yuping Luo, Nikunj Saunshi. "Provable Representation Learning for Imitation Learning via Bi-level Optimization" | [Home Page] | [PDF]

• Srinivasan Arunachalam, Reevu Maity. "Quantum Boosting" | [Home Page] | [PDF]

• Hassan Ashtiani, Vinayak Pathak, Ruth Urner. "Black-box Certification and Learning under Adversarial Perturbations" | [Home Page] | [PDF]

• Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand. "Invertible generative models for inverse problems: mitigating representation error and dataset bias" | [Home Page] | [PDF]

• Mahmoud Assran, Mike Rabbat. "On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings" | [Home Page] | [PDF]

• Alper Atamturk, Andres Gomez. "Safe screening rules for L0-regression from Perspective Relaxations" | [Home Page] | [PDF]

• Pranjal Awasthi, Natalie Frank, Mehryar Mohri. "Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks" | [Home Page] | [PDF]

• Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant. "Sample Amplification: Increasing Dataset Size even when Learning is Impossible" | [Home Page] | [PDF]

• Kyriakos Axiotis, Maxim Sviridenko. "Sparse Convex Optimization via Adaptively Regularized Hard Thresholding" | [Home Page] | [PDF]

• Alex Ayoub, Zeyu Jia, Csaba Szepesvari, Mengdi Wang, Lin Yang. "Model-Based Reinforcement Learning with Value-Targeted Regression" | [Home Page] | [PDF]

• Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael Mahoney. "Forecasting Sequential Data Using Consistent Koopman Autoencoders" | [Home Page] | [PDF]

• Gregor Bachmann, Gary Becigneul, Octavian Ganea. "Constant Curvature Graph Convolutional Networks" | [Home Page] | [PDF]

• Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner. "Scalable Nearest Neighbor Search for Optimal Transport" | [Home Page] | [PDF]

• Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell. "Agent57: Outperforming the Atari Human Benchmark" | [Home Page] | [PDF]

• Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz. "Fiduciary Bandits" | [Home Page] | [PDF]

• Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh. "Learning De-biased Representations with Biased Representations" | [Home Page] | [PDF]

• Dara Bahri, Heinrich Jiang, Maya Gupta. "Deep k-NN for Noisy Labels" | [Home Page] | [PDF]

• Yu Bai, Chi Jin. "Provable Self-Play Algorithms for Competitive Reinforcement Learning" | [Home Page] | [PDF]

• Liang Bai, Jiye Liang. "Sparse Subspace Clustering with Entropy-Norm" | [Home Page] | [PDF]

• Daniel Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. "Coresets for Clustering in Graphs of Bounded Treewidth" | [Home Page] | [PDF]

• Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik. "Refined bounds for algorithm configuration: The knife-edge of dual class approximability" | [Home Page] | [PDF]

• Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts. "Ready Policy One: World Building Through Active Learning" | [Home Page] | [PDF]

• Marin Ballu, Quentin Berthet, Francis Bach. "Stochastic Optimization for Regularized Wasserstein Estimators" | [Home Page] | [PDF]

• Santiago Balseiro, Haihao Lu, Vahab Mirrokni. "Dual Mirror Descent for Online Allocation Problems" | [Home Page] | [PDF]

• Subho Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar Iyer. "Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters" | [Home Page] | [PDF]

• Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon. "UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training" | [Home Page] | [PDF]

• Runxue Bao, Bin Gu, Heng Huang. "Fast OSCAR and OWL Regression via Safe Screening Rules" | [Home Page] | [PDF]

• Amitay Bar, Ronen Talmon, Ron Meir. "Option Discovery in the Absence of Rewards with Manifold Analysis" | [Home Page] | [PDF]

• Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis. "Learning the piece-wise constant graph structure of a varying Ising model" | [Home Page] | [PDF]

• Ronen Basri, Meirav Galun, Amnon Geifman, David Jacobs, Yoni Kasten, Shira Kritchman. "Frequency Bias in Neural Networks for Input of Non-Uniform Density" | [Home Page] | [PDF]

• Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan Ullman, Steven Wu. "Private Query Release Assisted by Public Data" | [Home Page] | [PDF]

• Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan. "ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications" | [Home Page] | [PDF]

• Samyadeep Basu, Xuchen You, Soheil Feizi. "On Second-Order Group Influence Functions for Black-Box Predictions" | [Home Page] | [PDF]

• Ayoub Belhadji, Rémi Bardenet, Pierre Chainais. "Kernel interpolation with continuous volume sampling" | [Home Page] | [PDF]

• Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon. "Decoupled Greedy Learning of CNNs" | [Home Page] | [PDF]

• Pierre Bellec, Dana Yang. "The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers" | [Home Page] | [PDF]

• Christopher Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier Oliva. "Defense Through Diverse Directions" | [Home Page] | [PDF]

• Emmanuel Bengio, Joelle Pineau, Doina Precup. "Interference and Generalization in Temporal Difference Learning" | [Home Page] | [PDF]

• Viktor Bengs, Eyke Hüllermeier. "Preselection Bandits" | [Home Page] | [PDF]

• Andrew Bennett, Nathan Kallus. "Efficient Policy Learning from Surrogate-Loss Classification Reductions" | [Home Page] | [PDF]

• Leonard Berrada, Andrew Zisserman, M. Pawan Kumar. "Training Neural Networks for and by Interpolation" | [Home Page] | [PDF]

• Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon. "Implicit differentiation of Lasso-type models for hyperparameter optimization" | [Home Page] | [PDF]

• Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit. "Online Learning with Imperfect Hints" | [Home Page] | [PDF]

• Robi Bhattacharjee, Kamalika Chaudhuri. "When are Non-Parametric Methods Robust?" | [Home Page] | [PDF]

• Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Ashwin Maran, Vinodchandran N. Variyam. "Learning and Sampling of Atomic Interventions from Observations" | [Home Page] | [PDF]

• Chiranjib Bhattacharyya, Ravindran Kannan. "Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures" | [Home Page] | [PDF]

• Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank Reddi, Sanjiv Kumar. "Low-Rank Bottleneck in Multi-head Attention Models" | [Home Page] | [PDF]

• Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi. "Spectral Clustering with Graph Neural Networks for Graph Pooling" | [Home Page] | [PDF]

• Ioana Bica, Ahmed Alaa, Mihaela Van Der Schaar. "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" | [Home Page] | [PDF]

• Pavol Bielik, Martin Vechev. "Adversarial Robustness for Code" | [Home Page] | [PDF]

• Joris Bierkens, Sebastiano Grazzi, Kengo Kamatani, Gareth Roberts. "The Boomerang Sampler" | [Home Page] | [PDF]

• Blair Bilodeau, Dylan Foster, Daniel Roy. "Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance" | [Home Page] | [PDF]

• Ilai Bistritz, Tavor Baharav, Amir Leshem, Nicholas Bambos. "My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits" | [Home Page] | [PDF]

• Guy Blanc, Jane Lange, Li-Yang Tan. "Provable guarantees for decision tree induction: the agnostic setting" | [Home Page] | [PDF]

• Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga. "Fast Differentiable Sorting and Ranking" | [Home Page] | [PDF]

• Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry. "Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?" | [Home Page] | [PDF]

• Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill Campbell, Carl Henrik Ek. "Modulating Surrogates for Bayesian Optimization" | [Home Page] | [PDF]

• Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson. "Deep Coordination Graphs" | [Home Page] | [PDF]

• Alexander Bogatskiy, Brandon Anderson, Jan Offermann, Marwah Roussi, David Miller, Risi Kondor. "Lorentz Group Equivariant Neural Network for Particle Physics" | [Home Page] | [PDF]

• Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann. "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More" | [Home Page] | [PDF]

• Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel. "Proper Network Interpretability Helps Adversarial Robustness in Classification" | [Home Page] | [PDF]

• Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan. "Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks" | [Home Page] | [PDF]

• Jorg Bornschein, Francesco Visin, Simon Osindero. "Small Data, Big Decisions: Model Selection in the Small-Data Regime" | [Home Page] | [PDF]

• Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, Will Hamilton. "Latent Variable Modelling with Hyperbolic Normalizing Flows" | [Home Page] | [PDF]

• Hippolyte Bourel, Odalric Maillard, Mohammad Sadegh Talebi. "Tightening Exploration in Upper Confidence Reinforcement Learning" | [Home Page] | [PDF]

• Amanda Bower, Laura Balzano. "Preference Modeling with Context-Dependent Salient Features" | [Home Page] | [PDF]

• Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew Peters, Ashish Sabharwal, Yejin Choi. "Adversarial Filters of Dataset Biases" | [Home Page] | [PDF]

• Mark Braverman, Xinyi Chen, Sham Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang. "Calibration, Entropy Rates, and Memory in Language Models" | [Home Page] | [PDF]

• Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Roi Sinoff. "Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension" | [Home Page] | [PDF]

• Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan. "All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference" | [Home Page] | [PDF]

• Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson. "Estimating the Number and Effect Sizes of Non-null Hypotheses" | [Home Page] | [PDF]

• Adam Breuer, Eric Balkanski, Yaron Singer. "The FAST Algorithm for Submodular Maximization" | [Home Page] | [PDF]

• Marc Brockschmidt. "GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation" | [Home Page] | [PDF]

• John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard Turner. "TaskNorm: Rethinking Batch Normalization for Meta-Learning" | [Home Page] | [PDF]

• Daniel Brown, Russell Coleman, Ravi Srinivasan, Scott Niekum. "Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences" | [Home Page] | [PDF]

• Brian Brubach, Darshan Chakrabarti, John Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas. "A Pairwise Fair and Community-preserving Approach to k-Center Clustering" | [Home Page] | [PDF]

• Wessel Bruinsma, Eric Perim, William Tebbutt, Scott Hosking, Arno Solin, Richard Turner. "Scalable Exact Inference in Multi-Output Gaussian Processes" | [Home Page] | [PDF]

• Jinzhi Bu, David Simchi-Levi, Yunzong Xu. "Online Pricing with Offline Data: Phase Transition and Inverse Square Law" | [Home Page] | [PDF]

• Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David Sontag. "Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models" | [Home Page] | [PDF]

• Maarten Buyl, Tijl De Bie. "DeBayes: a Bayesian Method for Debiasing Network Embeddings" | [Home Page] | [PDF]

• Vivien Cabannnes, Alessandro Rudi, Francis Bach. "Structured Prediction with Partial Labelling through the Infimum Loss" | [Home Page] | [PDF]

• Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau. "Online Learned Continual Compression with Adaptive Quantization Modules" | [Home Page] | [PDF]

• Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin. "Boosted Histogram Transform for Regression" | [Home Page] | [PDF]

• Hengrui Cai, Wenbin Lu, Rui Song. "On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies" | [Home Page] | [PDF]

• Changxiao Cai, H. Vincent Poor, Yuxin Chen. "Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality" | [Home Page] | [PDF]

• Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang. "Provably Efficient Exploration in Policy Optimization" | [Home Page] | [PDF]

• Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco. "Near-linear time Gaussian process optimization with adaptive batching and resparsification" | [Home Page] | [PDF]

• Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev. "Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates" | [Home Page] | [PDF]

• Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-I-Nieto, Jordi Torres. "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills" | [Home Page] | [PDF]

• Asaf Cassel, Alon Cohen, Tomer Koren. "Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently" | [Home Page] | [PDF]

• Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jeremy Rapin, Morgane Riviere, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier. "Fully Parallel Hyperparameter Search: Reshaped Space-Filling" | [Home Page] | [PDF]

• L. Elisa Celis, Vijay Keswani, Nisheeth Vishnoi. "Data preprocessing to mitigate bias: A maximum entropy based approach" | [Home Page] | [PDF]

• Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil. "Meta-learning with Stochastic Linear Bandits" | [Home Page] | [PDF]

• Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li. "Description Based Text Classification with Reinforcement Learning" | [Home Page] | [PDF]

• Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha. "Concise Explanations of Neural Networks using Adversarial Training" | [Home Page] | [PDF]

• Alex Chan, Ahmed Alaa, Zhaozhi Qian, Mihaela Van Der Schaar. "Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift" | [Home Page] | [PDF]

• William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly. "Imputer: Sequence Modelling via Imputation and Dynamic Programming" | [Home Page] | [PDF]

• Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip Thomas. "Optimizing for the Future in Non-Stationary MDPs" | [Home Page] | [PDF]

• Kai-Hung Chang, Chin-Yi Cheng. "Learning to Simulate and Design for Structural Engineering" | [Home Page] | [PDF]

• Michael Chang, Sid Kaushik, S. Matthew Weinberg, Tom Griffiths, Sergey Levine. "Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions" | [Home Page] | [PDF]

• Shiyu Chang, Yang Zhang, Mo Yu, Tommi Jaakkola. "Invariant Rationalization" | [Home Page] | [PDF]

• Satrajit Chatterjee, Alan Mishchenko. "Circuit-Based Intrinsic Methods to Detect Overfitting" | [Home Page] | [PDF]

• Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas. "Better depth-width trade-offs for neural networks through the lens of dynamical systems" | [Home Page] | [PDF]

• Yatin Chaudhary, Hinrich Schuetze, Pankaj Gupta. "Explainable and Discourse Topic-aware Neural Language Understanding" | [Home Page] | [PDF]

• Lakshay Chauhan, John Alberg, Zachary Lipton. "Uncertainty-Aware Lookahead Factor Models for Quantitative Investing" | [Home Page] | [PDF]

• Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John Gregoire, Carla Gomes. "Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning" | [Home Page] | [PDF]

• Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang. "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" | [Home Page] | [PDF]

• Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song. "Learning To Stop While Learning To Predict" | [Home Page] | [PDF]

• Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao. "Combinatorial Pure Exploration for Dueling Bandit" | [Home Page] | [PDF]

• Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu. "Graph Optimal Transport for Cross-Domain Alignment" | [Home Page] | [PDF]

• Xiangning Chen, Cho-Jui Hsieh. "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization" | [Home Page] | [PDF]

• Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Ken Forbus, Jianfeng Gao. "Mapping natural-language problems to formal-language solutions using structured neural representations" | [Home Page] | [PDF]

• Dexiong Chen, Laurent Jacob, Julien Mairal. "Convolutional Kernel Networks for Graph-Structured Data" | [Home Page] | [PDF]

• Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick Van Der Smagt. "Learning Flat Latent Manifolds with VAEs" | [Home Page] | [PDF]

• Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton. "A Simple Framework for Contrastive Learning of Visual Representations" | [Home Page] | [PDF]

• Binghong Chen, Chengtao Li, Hanjun Dai, Le Song. "Retro: Learning Retrosynthetic Planning with Neural Guided A Search"** | [Home Page] | [PDF]

• Ting Chen, Lala Li, Yizhou Sun. "Differentiable Product Quantization for End-to-End Embedding Compression" | [Home Page] | [PDF]

• Yu Chen, Zhenming Liu, Bin Ren, Xin Jin. "On Efficient Constructions of Checkpoints" | [Home Page] | [PDF]

• Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar. "Angular Visual Hardness" | [Home Page] | [PDF]

• Jessie X.T. Chen, Miles Lopes. "Estimating the Error of Randomized Newton Methods: A Bootstrap Approach" | [Home Page] | [PDF]

• Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian. "VFlow: More Expressive Generative Flows with Variational Data Augmentation" | [Home Page] | [PDF]

• Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi. "More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models" | [Home Page] | [PDF]

• Yuwen Chen, Antonio Orvieto, Aurelien Lucchi. "An Accelerated DFO Algorithm for Finite-sum Convex Functions" | [Home Page] | [PDF]

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• Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar. "Automated Synthetic-to-Real Generalization" | [Home Page] | [PDF]

• Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang. "(Locally) Differentially Private Combinatorial Semi-Bandits" | [Home Page] | [PDF]

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• Rachit Chhaya, Anirban Dasgupta, Supratim Shit. "On Coresets for Regularized Regression" | [Home Page] | [PDF]

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• Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamas Sarlos, Adrian Weller, Vikas Sindhwani. "Stochastic Flows and Geometric Optimization on the Orthogonal Group" | [Home Page] | [PDF]

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• Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Deisenroth. "Healing Products of Gaussian Process Experts" | [Home Page] | [PDF]

• Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde. "On Efficient Low Distortion Ultrametric Embedding" | [Home Page] | [PDF]

• Benjamin Coleman, Richard Baraniuk, Anshumali Shrivastava. "Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data" | [Home Page] | [PDF]

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• Niccolo Dalmasso, Rafael Izbicki, Ann Lee. "Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting" | [Home Page] | [PDF]

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• Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang. "Interpreting Robust Optimization via Adversarial Influence Functions" | [Home Page] | [PDF]

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• Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie Su. "Towards Understanding the Dynamics of the First-Order Adversaries" | [Home Page] | [PDF]

• Yuan Deng, Sebastien Lahaie, Vahab Mirrokni. "Robust Pricing in Dynamic Mechanism Design" | [Home Page] | [PDF]

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• Armin Eftekhari. "Training Linear Neural Networks: Non-Local Convergence and Complexity Results" | [Home Page] | [PDF]

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• Kaito Fujii. "Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions" | [Home Page] | [PDF]

• Futoshi Futami, Issei Sato, Masashi Sugiyama. "Accelerating the diffusion-based ensemble sampling by non-reversible dynamics" | [Home Page] | [PDF]

• Manegueu Anne Gael, Claire Vernade, Alexandra Carpentier, Michal Valko. "Stochastic bandits with arm-dependent delays" | [Home Page] | [PDF]

• Alex Gain, Hava Siegelmann. "Abstraction Mechanisms Predict Generalization in Deep Neural Networks" | [Home Page] | [PDF]

• Yansong Gao, Pratik Chaudhari. "A Free-Energy Principle for Representation Learning" | [Home Page] | [PDF]

• Hongchang Gao, Heng Huang. "Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?" | [Home Page] | [PDF]

• Dan Garber, Gal Korcia, Kfir Levy. "Online Convex Optimization in the Random Order Model" | [Home Page] | [PDF]

• Sankalp Garg, Aniket Bajpai, Mausam. "Symbolic Network: Generalized Neural Policies for Relational MDPs" | [Home Page] | [PDF]

• Vikas Garg, Tommi Jaakkola. "Predicting deliberative outcomes" | [Home Page] | [PDF]

• Vikas Garg, Stefanie Jegelka, Tommi Jaakkola. "Generalization and Representational Limits of Graph Neural Networks" | [Home Page] | [PDF]

• Sinong Geng, Houssam Nassif, Carlos Manzanares, Max Reppen, Ronnie Sircar. "Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions" | [Home Page] | [PDF]

• Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis. "Multilinear Latent Conditioning for Generating Unseen Attribute Combinations" | [Home Page] | [PDF]

• Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mezard, Lenka Zdeborova. "Generalisation error in learning with random features and the hidden manifold model" | [Home Page] | [PDF]

• Evangelia Gergatsouli, Brendan Lucier, Christos Tzamos. "Black-Box Methods for Restoring Monotonicity" | [Home Page] | [PDF]

• Pouya M Ghari, Yanning Shen. "Online Multi-Kernel Learning with Graph-Structured Feedback" | [Home Page] | [PDF]

• Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu. "Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics" | [Home Page] | [PDF]

• Amiremad Ghassami, Alan Yang, Negar Kiyavash, Kun Zhang. "Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs" | [Home Page] | [PDF]

• Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh. "Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead" | [Home Page] | [PDF]

• Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy. "Aligned Cross Entropy for Non-Autoregressive Machine Translation" | [Home Page] | [PDF]

• Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White. "Gradient Temporal-Difference Learning with Regularized Corrections" | [Home Page] | [PDF]

• Amirata Ghorbani, Michael Kim, James Zou. "A Distributional Framework For Data Valuation" | [Home Page] | [PDF]

• Subhroshekhar Ghosh, Krishna Balasubramanian, Xiaochuan Yang. "Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos" | [Home Page] | [PDF]

• Dibya Ghosh, Marc G. Bellemare. "Representations for Stable Off-Policy Reinforcement Learning" | [Home Page] | [PDF]

• Alex Gittens, Kareem Aggour, Bülent Yener. "Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition" | [Home Page] | [PDF]

• Abhiram Gnanasambandam, Stanley Chan. "One Size Fits All: Can We Train One Denoiser for All Noise Levels?" | [Home Page] | [PDF]

• Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam Klivans. "Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent" | [Home Page] | [PDF]

• Tomer Golany, Kira Radinsky, Daniel Freedman. "SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification" | [Home Page] | [PDF]

• Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein. "Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks" | [Home Page] | [PDF]

• Eugene Golikov. "Towards a General Theory of Infinite-Width Limits of Neural Classifiers" | [Home Page] | [PDF]

• Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin. "Differentially Private Set Union" | [Home Page] | [PDF]

• Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, John Cunningham. "The continuous categorical: a novel simplex-valued exponential family" | [Home Page] | [PDF]

• Maria Gorinova, Dave Moore, Matthew Hoffman. "Automatic Reparameterisation of Probabilistic Programs" | [Home Page] | [PDF]

• Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez. "Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions" | [Home Page] | [PDF]

• Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar, Yoshua Bengio. "Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning" | [Home Page] | [PDF]

• Olivier Gouvert, Thomas Oberlin, Cédric Févotte. "Ordinal Non-negative Matrix Factorization for Recommendation" | [Home Page] | [PDF]

• Saurabh Goyal, Anamitra Roy Choudhury, Saurabh Raje, Venkatesan Chakaravarthy, Yogish Sabharwal, Ashish Verma. "PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination" | [Home Page] | [PDF]

• Ankit Goyal, Jia Deng. "PackIt: A Virtual Environment for Geometric Planning" | [Home Page] | [PDF]

• Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain. "DROCC: Deep Robust One-Class Classification" | [Home Page] | [PDF]

• Jan Graßhoff, Alexandra Jankowski, Philipp Rostalski. "Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase" | [Home Page] | [PDF]

• Will Grathwohl, Kuan-Chieh Wang, Joern-Henrik Jacobsen, David Duvenaud, Richard Zemel. "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling" | [Home Page] | [PDF]

• Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo. "On the Iteration Complexity of Hypergradient Computation" | [Home Page] | [PDF]

• Daniel Greenfeld, Uri Shalit. "Robust Learning with the Hilbert-Schmidt Independence Criterion" | [Home Page] | [PDF]

• Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Remi Munos. "Monte-Carlo Tree Search as Regularized Policy Optimization" | [Home Page] | [PDF]

• Allan Grønlund, Lior Kamma, Kasper Green Larsen. "Near-Tight Margin-Based Generalization Bounds for Support Vector Machines" | [Home Page] | [PDF]

• Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman. "Implicit Geometric Regularization for Learning Shapes" | [Home Page] | [PDF]

• Albert Gu, Caglar Gulcehre, Thomas Paine, Matt Hoffman, Razvan Pascanu. "Improving the Gating Mechanism of Recurrent Neural Networks" | [Home Page] | [PDF]

• Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou. "Recurrent Hierarchical Topic-Guided RNN for Language Generation" | [Home Page] | [PDF]

• Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan. "Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search" | [Home Page] | [PDF]

• Chuan Guo, Tom Goldstein, Awni Hannun, Laurens Van Der Maaten. "Certified Data Removal from Machine Learning Models" | [Home Page] | [PDF]

• Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao. "LTF: A Label Transformation Framework for Correcting Label Shift" | [Home Page] | [PDF]

• Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht. "Learning to Branch for Multi-Task Learning" | [Home Page] | [PDF]

• Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang. "Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks" | [Home Page] | [PDF]

• Zhaohan Daniel Guo, Bernardo Avila Pires, Bilal Piot, Jean-Bastien Grill, Florent Altché, Remi Munos, Mohammad Gheshlaghi Azar. "Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning" | [Home Page] | [PDF]

• Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar. "Accelerating Large-Scale Inference with Anisotropic Vector Quantization" | [Home Page] | [PDF]

• Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou. "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" | [Home Page] | [PDF]

• Pankaj Gupta, Yatin Chaudhary, Thomas Runkler, Hinrich Schuetze. "Neural Topic Modeling with Continual Lifelong Learning" | [Home Page] | [PDF]

• Maya Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Taman Narayan, Sen Zhao. "Multidimensional Shape Constraints" | [Home Page] | [PDF]

• Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Mingwei Chang. "Retrieval Augmented Language Model Pre-Training" | [Home Page] | [PDF]

• Ran Haba, Ehsan Kazemi, Moran Feldman, Amin Karbasi. "Streaming Submodular Maximization under a k-Set System Constraint" | [Home Page] | [PDF]

• Guy Hacohen, Leshem Choshen, Daphna Weinshall. "Let’s Agree to Agree: Neural Networks Share Classification Order on Real Datasets" | [Home Page] | [PDF]

• Marwa El Halabi, Stefanie Jegelka. "Optimal approximation for unconstrained non-submodular minimization" | [Home Page] | [PDF]

• Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh. "FedBoost: A Communication-Efficient Algorithm for Federated Learning" | [Home Page] | [PDF]

• Insu Han, Haim Avron, Jinwoo Shin. "Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix" | [Home Page] | [PDF]

• Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker. "DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images" | [Home Page] | [PDF]

• Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor Tsang, Masashi Sugiyama. "SIGUA: Forgetting May Make Learning with Noisy Labels More Robust" | [Home Page] | [PDF]

• Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu. "Training Binary Neural Networks through Learning with Noisy Supervision" | [Home Page] | [PDF]

• Filip Hanzely, Nikita Doikov, Yurii Nesterov, Peter Richtarik. "Stochastic Subspace Cubic Newton Method" | [Home Page] | [PDF]

• Filip Hanzely, Dmitry Kovalev, Peter Richtarik. "Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems" | [Home Page] | [PDF]

• Yi Hao, Alon Orlitsky. "Data Amplification: Instance-Optimal Property Estimation" | [Home Page] | [PDF]

• Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai. "Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising" | [Home Page] | [PDF]

• Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan. "Improving generalization by controlling label-noise information in neural network weights" | [Home Page] | [PDF]

• Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu. "A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits" | [Home Page] | [PDF]

• Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian. "Bayesian Graph Neural Networks with Adaptive Connection Sampling" | [Home Page] | [PDF]

• Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel. "CoMic: Complementary Task Learning & Mimicry for Reusable Skills" | [Home Page] | [PDF]

• Kaveh Hassani, Amir Hosein Khasahmadi. "Contrastive Multi-View Representation Learning on Graphs" | [Home Page] | [PDF]

• Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa. "Nested Subspace Arrangement for Representation of Relational Data" | [Home Page] | [PDF]

• Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder. "The Tree Ensemble Layer: Differentiability meets Conditional Computation" | [Home Page] | [PDF]

• Reinhard Heckel, Mahdi Soltanolkotabi. "Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation" | [Home Page] | [PDF]

• Donald Hejna, Lerrel Pinto, Pieter Abbeel. "Hierarchically Decoupled Imitation For Morphological Transfer" | [Home Page] | [PDF]

• Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou. "Gradient-free Online Learning in Continuous Games with Delayed Rewards" | [Home Page] | [PDF]

• Olivier Henaff. "Data-Efficient Image Recognition with Contrastive Predictive Coding" | [Home Page] | [PDF]

• Julien Hendrickx, Alex Olshevsky, Venkatesh Saligrama. "Minimax Rate for Learning From Pairwise Comparisons in the BTL Model" | [Home Page] | [PDF]

• Hadrien Hendrikx, Lin Xiao, Sebastien Bubeck, Francis Bach, Laurent Massoulie. "Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization" | [Home Page] | [PDF]

• Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang. "Cost-Effective Interactive Attention Learning with Neural Attention Processes" | [Home Page] | [PDF]

• Joeri Hermans, Volodimir Begy, Gilles Louppe. "Likelihood-free MCMC with Amortized Approximate Ratio Estimators" | [Home Page] | [PDF]

• Fabian Hinder, André Artelt, Barbara Hammer. "Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)" | [Home Page] | [PDF]

• Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain. "Optimization and Analysis of the pAp@k Metric for Recommender Systems" | [Home Page] | [PDF]

• Minh Hoang, Carleton Kingsford. "Optimizing Dynamic Structures with Bayesian Generative Search" | [Home Page] | [PDF]

• Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet. "Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion" | [Home Page] | [PDF]

• Quan Hoang, Trung Le, Dinh Phung. "Parameterized Rate-Distortion Stochastic Encoder" | [Home Page] | [PDF]

• Christoph Hofer, Florian Graf, Marc Niethammer, Roland Kwitt. "Topologically Densified Distributions" | [Home Page] | [PDF]

• Christoph Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt. "Graph Filtration Learning" | [Home Page] | [PDF]

• Matthew Hoffman, Yian Ma. "Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics" | [Home Page] | [PDF]

• Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis. "Learning Mixtures of Graphs from Epidemic Cascades" | [Home Page] | [PDF]

• Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt. "Set Functions for Time Series" | [Home Page] | [PDF]

• Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda. "Lifted Disjoint Paths with Application in Multiple Object Tracking" | [Home Page] | [PDF]

• Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak. "Infinite attention: NNGP and NTK for deep attention networks" | [Home Page] | [PDF]

• Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons. "The Non-IID Data Quagmire of Decentralized Machine Learning" | [Home Page] | [PDF]

• Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob Foerster. "“Other-Play” for Zero-Shot Coordination" | [Home Page] | [PDF]

• Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson. "XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation" | [Home Page] | [PDF]

• Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang. "Momentum-Based Policy Gradient Methods" | [Home Page] | [PDF]

• Jiawei Huang, Nan Jiang. "From Importance Sampling to Doubly Robust Policy Gradient" | [Home Page] | [PDF]

• Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger Grosse. "Evaluating Lossy Compression Rates of Deep Generative Models" | [Home Page] | [PDF]

• Wenlong Huang, Igor Mordatch, Deepak Pathak. "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control" | [Home Page] | [PDF]

• Long-Kai Huang, Sinno Pan. "Communication-Efficient Distributed PCA by Riemannian Optimization" | [Home Page] | [PDF]

• Xiao Shi Huang, Felipe Perez, Jimmy Ba, Maksims Volkovs. "Improving Transformer Optimization Through Better Initialization" | [Home Page] | [PDF]

• Ying Huang, Shangfeng Qiu, Wenwei Zhang, Xianghui Luo, Jinzhuo Wang. "More Information Supervised Probabilistic Deep Face Embedding Learning" | [Home Page] | [PDF]

• Jiani Huang, Calvin Smith, Osbert Bastani, Rishabh Singh, Aws Albarghouthi, Mayur Naik. "Generating Programmatic Referring Expressions via Program Synthesis" | [Home Page] | [PDF]

• Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora. "InstaHide: Instance-hiding Schemes for Private Distributed Learning" | [Home Page] | [PDF]

• Feihu Huang, Lue Tao, Songcan Chen. "Accelerated Stochastic Gradient-free and Projection-free Methods" | [Home Page] | [PDF]

• Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang. "Deep Graph Random Process for Relational-Thinking-Based Speech Recognition" | [Home Page] | [PDF]

• Jiaoyang Huang, Horng-Tzer Yau. "Dynamics of Deep Neural Networks and Neural Tangent Hierarchy" | [Home Page] | [PDF]

• Dongsung Huh. "Curvature-corrected learning dynamics in deep neural networks" | [Home Page] | [PDF]

• Tri Huynh, Michael Maire, Matthew Walter. "Multigrid Neural Memory" | [Home Page] | [PDF]

• Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari. "Meta-Learning with Shared Amortized Variational Inference" | [Home Page] | [PDF]

• Adam Ibrahim, Waı̈ss Azizian, Gauthier Gidel, Ioannis Mitliagkas. "Linear Lower Bounds and Conditioning of Differentiable Games" | [Home Page] | [PDF]

• Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima. "Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance" | [Home Page] | [PDF]

• Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama. "Do We Need Zero Training Loss After Achieving Zero Training Error?" | [Home Page] | [PDF]

• Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson. "Semi-Supervised Learning with Normalizing Flows" | [Home Page] | [PDF]

• Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clement Hongler, Franck Gabriel. "Implicit Regularization of Random Feature Models" | [Home Page] | [PDF]

• Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev. "Correlation Clustering with Asymmetric Classification Errors" | [Home Page] | [PDF]

• Ayush Jain, Alon Orlitsky. "Optimal Robust Learning of Discrete Distributions from Batches" | [Home Page] | [PDF]

• Ayush Jain, Andrew Szot, Joseph Lim. "Generalization to New Actions in Reinforcement Learning" | [Home Page] | [PDF]

• Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker. "Tails of Lipschitz Triangular Flows" | [Home Page] | [PDF]

• Steven James, Benjamin Rosman, George Konidaris. "Learning Portable Representations for High-Level Planning" | [Home Page] | [PDF]

• Hicham Janati, Marco Cuturi, Alexandre Gramfort. "Debiased Sinkhorn barycenters" | [Home Page] | [PDF]

• Martin Jankowiak, Geoff Pleiss, Jacob Gardner. "Parametric Gaussian Process Regressors" | [Home Page] | [PDF]

• Daniel Jarrett, Mihaela Van Der Schaar. "Inverse Active Sensing: Modeling and Understanding Timely Decision-Making" | [Home Page] | [PDF]

• Vivek Jayaram, John Thickstun. "Source Separation with Deep Generative Priors" | [Home Page] | [PDF]

• Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna. "Extra-gradient with player sampling for faster convergence in n-player games" | [Home Page] | [PDF]

• Hyeonseong Jeon, Young Oh Bang, Junyaup Kim, Simon Woo. "T-GD: Transferable GAN-generated Images Detection Framework" | [Home Page] | [PDF]

• Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang. "History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms" | [Home Page] | [PDF]

• Zhiwei Jia, Hao Su. "Information-Theoretic Local Minima Characterization and Regularization" | [Home Page] | [PDF]

• Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya Gupta. "Optimizing Black-box Metrics with Adaptive Surrogates" | [Home Page] | [PDF]

• Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett. "BINOCULARS for efficient, nonmyopic sequential experimental design" | [Home Page] | [PDF]

• Lu Jiang, Di Huang, Mason Liu, Weilong Yang. "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" | [Home Page] | [PDF]

• Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei. "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Yibo Jiang, Cengiz Pehlevan. "Associative Memory in Iterated Overparameterized Sigmoid Autoencoders" | [Home Page] | [PDF]

• Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola. "Hierarchical Generation of Molecular Graphs using Structural Motifs" | [Home Page] | [PDF]

• Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola. "Multi-Objective Molecule Generation using Interpretable Substructures" | [Home Page] | [PDF]

• Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu. "Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition" | [Home Page] | [PDF]

• Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu. "Reward-Free Exploration for Reinforcement Learning" | [Home Page] | [PDF]

• Chi Jin, Praneeth Netrapalli, Michael Jordan. "What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?" | [Home Page] | [PDF]

• Yujia Jin, Aaron Sidford. "Efficiently Solving MDPs with Stochastic Mirror Descent" | [Home Page] | [PDF]

• Ying Jin, Zhaoran Wang, Junwei Lu. "Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model" | [Home Page] | [PDF]

• Tyler Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin. "AdaScale SGD: A User-Friendly Algorithm for Distributed Training" | [Home Page] | [PDF]

• Rie Johnson, Tong Zhang. "Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization" | [Home Page] | [PDF]

• Alexia Jolicoeur-Martineau. "On Relativistic f-Divergences" | [Home Page] | [PDF]

• Matthew Jones, Huy Nguyen, Thy Nguyen. "Fair k-Centers via Maximum Matching" | [Home Page] | [PDF]

• Taejong Joo, Uijung Chung, Min-Gwan Seo. "Being Bayesian about Categorical Probability" | [Home Page] | [PDF]

• Scott Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip Thomas. "Evaluating the Performance of Reinforcement Learning Algorithms" | [Home Page] | [PDF]

• Martin Jørgensen, Marc Deisenroth, Hugh Salimbeni. "Stochastic Differential Equations with Variational Wishart Diffusions" | [Home Page] | [PDF]

• Pooria Joulani, Anant Raj, Andras Gyorgy, Csaba Szepesvari. "A simpler approach to accelerated optimization: iterative averaging meets optimism" | [Home Page] | [PDF]

• Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman. "Sets Clustering" | [Home Page] | [PDF]

• Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever. "Distribution Augmentation for Generative Modeling" | [Home Page] | [PDF]

• Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar. "Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning" | [Home Page] | [PDF]

• Hachem Kadri, Stephane Ayache, Riikka Huusari, Alain Rakotomamonjy, Ralaivola Liva. "Partial Trace Regression and Low-Rank Kraus Decomposition" | [Home Page] | [PDF]

• Anson Kahng, Gregory Kehne, Ariel Procaccia. "Strategyproof Mean Estimation from Multiple-Choice Questions" | [Home Page] | [PDF]

• Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Soren Hauberg. "Variational Autoencoders with Riemannian Brownian Motion Priors" | [Home Page] | [PDF]

• Nathan Kallus. "DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training" | [Home Page] | [PDF]

• Nathan Kallus, Masatoshi Uehara. "Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation" | [Home Page] | [PDF]

• Nathan Kallus, Masatoshi Uehara. "Statistically Efficient Off-Policy Policy Gradients" | [Home Page] | [PDF]

• Akshay Kamath, Eric Price, Sushrut Karmalkar. "On the Power of Compressed Sensing with Generative Models" | [Home Page] | [PDF]

• Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi. "Learning and Evaluating Contextual Embedding of Source Code" | [Home Page] | [PDF]

• Minsoo Kang, Bohyung Han. "Operation-Aware Soft Channel Pruning using Differentiable Masks" | [Home Page] | [PDF]

• Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank Reddi, Sebastian Stich, Ananda Theertha Suresh. "SCAFFOLD: Stochastic Controlled Averaging for Federated Learning" | [Home Page] | [PDF]

• Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu. "Non-autoregressive Machine Translation with Disentangled Context Transformer" | [Home Page] | [PDF]

• Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret. "Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention" | [Home Page] | [PDF]

• Keizo Kato, Jing Zhou, Tomotake Sasaki, Akira Nakagawa. "Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space" | [Home Page] | [PDF]

• Stephen Keeley, David Zoltowski, Yiyi Yu, Spencer Smith, Jonathan Pillow. "Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations" | [Home Page] | [PDF]

• Iordanis Kerenidis, Alessandro Luongo, Anupam Prakash. "Quantum Expectation-Maximization for Gaussian mixture models" | [Home Page] | [PDF]

• Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig. "Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems" | [Home Page] | [PDF]

• Fereshte Khani, Percy Liang. "Feature Noise Induces Loss Discrepancy Across Groups" | [Home Page] | [PDF]

• Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni. "Entropy Minimization In Emergent Languages" | [Home Page] | [PDF]

• Dmitrii Kharkovskii, Zhongxiang Dai, Bryan Kian Hsiang Low. "Private Outsourced Bayesian Optimization" | [Home Page] | [PDF]

• Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup. "What can I do here? A Theory of Affordances in Reinforcement Learning" | [Home Page] | [PDF]

• Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar. "Uniform Convergence of Rank-weighted Learning" | [Home Page] | [PDF]

• Joon Sik Kim, Jiahao Chen, Ameet Talwalkar. "FACT: A Diagnostic for Group Fairness Trade-offs" | [Home Page] | [PDF]

• Jang-Hyun Kim, Wonho Choo, Hyun Oh Song. "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" | [Home Page] | [PDF]

• Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon. "Domain Adaptive Imitation Learning" | [Home Page] | [PDF]

• Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim. "Variational Inference for Sequential Data with Future Likelihood Estimates" | [Home Page] | [PDF]

• Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins. "Active World Model Learning with Progress Curiosity" | [Home Page] | [PDF]

• Steven Kleinegesse, Michael U. Gutmann. "Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation" | [Home Page] | [PDF]

• Jeremias Knoblauch, Hisham Husain, Tom Diethe. "Optimal Continual Learning has Perfect Memory and is NP-hard" | [Home Page] | [PDF]

• Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang. "Concept Bottleneck Models" | [Home Page] | [PDF]

• Georg Kohl, Kiwon Um, Nils Thuerey. "Learning Similarity Metrics for Numerical Simulations" | [Home Page] | [PDF]

• Jonas Köhler, Leon Klein, Frank Noe. "Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities" | [Home Page] | [PDF]

• Andrey Kolobov, Sebastien Bubeck, Julian Zimmert. "Online Learning for Active Cache Synchronization" | [Home Page] | [PDF]

• Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri, Martin Jaggi, Sebastian Stich. "A Unified Theory of Decentralized SGD with Changing Topology and Local Updates" | [Home Page] | [PDF]

• Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh. "Meta-learning for Mixed Linear Regression" | [Home Page] | [PDF]

• Lingkai Kong, Jimeng Sun, Chao Zhang. "SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates" | [Home Page] | [PDF]

• Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph Lampert. "On the Sample Complexity of Adversarial Multi-Source PAC Learning" | [Home Page] | [PDF]

• James Kostas, Chris Nota, Philip Thomas. "Asynchronous Coagent Networks" | [Home Page] | [PDF]

• Agustinus Kristiadi, Matthias Hein, Philipp Hennig. "Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks" | [Home Page] | [PDF]

• Anurag Kumar, Vamsi Ithapu. "A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition" | [Home Page] | [PDF]

• Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi. "Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness" | [Home Page] | [PDF]

• Ananya Kumar, Tengyu Ma, Percy Liang. "Understanding Self-Training for Gradual Domain Adaptation" | [Home Page] | [PDF]

• Abhishek Kumar, Ben Poole. "On Implicit Regularization in $β$-VAEs" | [Home Page] | [PDF]

• I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler. "Problems with Shapley-value-based explanations as feature importance measures" | [Home Page] | [PDF]

• Daniel Kumor, Carlos Cinelli, Elias Bareinboim. "Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets" | [Home Page] | [PDF]

• Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena, Surya Ganguli, Jonathan Bloom, Daniel Yamins. "Two Routes to Scalable Credit Assignment without Weight Symmetry" | [Home Page] | [PDF]

• Yuko Kuroki, Atsushi Miyauchi, Junya Honda, Masashi Sugiyama. "Online Dense Subgraph Discovery via Blurred-Graph Feedback" | [Home Page] | [PDF]

• Mark Kurtz, Justin Kopinsky, Rati Gelashvili, Alexander Matveev, John Carr, Michael Goin, William Leiserson, Sage Moore, Nir Shavit, Dan Alistarh. "Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks" | [Home Page] | [PDF]

• Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi. "Soft Threshold Weight Reparameterization for Learnable Sparsity" | [Home Page] | [PDF]

• Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin, Dmitry Vetrov. "Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics" | [Home Page] | [PDF]

• Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik. "Principled learning method for Wasserstein distributionally robust optimization with local perturbations" | [Home Page] | [PDF]

• Prashanth L.A., Krishna Jagannathan, Ravi Kolla. "Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions" | [Home Page] | [PDF]

• Jonathan Lacotte, Mert Pilanci. "Optimal Randomized First-Order Methods for Least-Squares Problems" | [Home Page] | [PDF]

• Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence D’Alché-Buc. "Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses" | [Home Page] | [PDF]

• Zehua Lai, Lek-Heng Lim. "Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False" | [Home Page] | [PDF]

• Hang Lai, Jian Shen, Weinan Zhang, Yong Yu. "Bidirectional Model-based Policy Optimization" | [Home Page] | [PDF]

• Himabindu Lakkaraju, Nino Arsov, Osbert Bastani. "Robust and Stable Black Box Explanations" | [Home Page] | [PDF]

• Michael Laskin, Aravind Srinivas, Pieter Abbeel. "CURL: Contrastive Unsupervised Representations for Reinforcement Learning" | [Home Page] | [PDF]

• Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher. "Efficient Proximal Mapping of the 1-path-norm of Shallow Networks" | [Home Page] | [PDF]

• Tor Lattimore, Csaba Szepesvari, Gellert Weisz. "Learning with Good Feature Representations in Bandits and in RL with a Generative Model" | [Home Page] | [PDF]

• Hien Le, Nicolas Gillis, Panagiotis Patrinos. "Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization" | [Home Page] | [PDF]

• Hung Le, Truyen Tran, Svetha Venkatesh. "Self-Attentive Associative Memory" | [Home Page] | [PDF]

• Sanghack Lee, Elias Bareinboim. "Causal Effect Identifiability under Partial-Observability" | [Home Page] | [PDF]

• Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel. "Estimating Model Uncertainty of Neural Networks in Sparse Information Form" | [Home Page] | [PDF]

• Hankook Lee, Sung Ju Hwang, Jinwoo Shin. "Self-supervised Label Augmentation via Input Transformations" | [Home Page] | [PDF]

• Byungjun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim. "Batch Reinforcement Learning with Hyperparameter Gradients" | [Home Page] | [PDF]

• Jonathan Lee, Aldo Pacchiano, Peter Bartlett, Michael Jordan. "Accelerated Message Passing for Entropy-Regularized MAP Inference" | [Home Page] | [PDF]

• Sang-Hyun Lee, Seung-Woo Seo. "Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning" | [Home Page] | [PDF]

• Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin. "Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning" | [Home Page] | [PDF]

• Changhee Lee, Mihaela Van Der Schaar. "Temporal Phenotyping using Deep Predictive Clustering of Disease Progression" | [Home Page] | [PDF]

• Chanwoo Lee, Miaoyan Wang. "Tensor denoising and completion based on ordinal observations" | [Home Page] | [PDF]

• Jiabao Lei, Kui Jia. "Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks" | [Home Page] | [PDF]

• Qi Lei, Jason Lee, Alex Dimakis, Constantinos Daskalakis. "SGD Learns One-Layer Networks in WGANs" | [Home Page] | [PDF]

• Yunwen Lei, Yiming Ying. "Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent" | [Home Page] | [PDF]

• Yan Leng, Xiaowen Dong, Junfeng Wu, Alex Pentland. "Learning Quadratic Games on Networks" | [Home Page] | [PDF]

• Yang Li, Shoaib Akbar, Junier Oliva. "ACFlow: Flow Models for Arbitrary Conditional Likelihoods" | [Home Page] | [PDF]

• Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee. "Manifold Identification for Ultimately Communication-Efficient Distributed Optimization" | [Home Page] | [PDF]

• Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu. "Neural Architecture Search in A Proxy Validation Loss Landscape" | [Home Page] | [PDF]

• Shiyu Li, Edward Hanson, Hai Li, Yiran Chen. "PENNI: Pruned Kernel Sharing for Efficient CNN Inference" | [Home Page] | [PDF]

• Mingjie Li, Lingshen He, Zhouchen Lin. "Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability" | [Home Page] | [PDF]

• Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu. "Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning" | [Home Page] | [PDF]

• Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtarik. "Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization" | [Home Page] | [PDF]

• Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. "On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation" | [Home Page] | [PDF]

• Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin. "Latent Space Factorisation and Manipulation via Matrix Subspace Projection" | [Home Page] | [PDF]

• Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua Tenenbaum, Antonio Torralba. "Visual Grounding of Learned Physical Models" | [Home Page] | [PDF]

• Steven Cheng-Xian Li, Benjamin Marlin. "Learning from Irregularly-Sampled Time Series: A Missing Data Perspective" | [Home Page] | [PDF]

• Chao Li, Zhun Sun. "Evolutionary Topology Search for Tensor Network Decomposition" | [Home Page] | [PDF]

• Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez. "Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers" | [Home Page] | [PDF]

• Bingcong Li, Lingda Wang, Georgios B. Giannakis. "Almost Tune-Free Variance Reduction" | [Home Page] | [PDF]

• Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang. "Nearly Linear Row Sampling Algorithm for Quantile Regression" | [Home Page] | [PDF]

• Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song. "Temporal Logic Point Processes" | [Home Page] | [PDF]

• Yi Li, David Woodruff. "Input-Sparsity Low Rank Approximation in Schatten Norm" | [Home Page] | [PDF]

• Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou. "RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr" | [Home Page] | [PDF]

• Zhimei Li, Yaowu Zhang. "On a projective ensemble approach to two sample test for equality of distributions" | [Home Page] | [PDF]

• Jian Liang, Dapeng Hu, Jiashi Feng. "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Peter Chen. "Variable Skipping for Autoregressive Range Density Estimation" | [Home Page] | [PDF]

• Tung-Che Liang, Zhanwei Zhong, Yaas Bigdeli, Tsung-Yi Ho, Krishnendu Chakrabarty, Richard Fair. "Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning" | [Home Page] | [PDF]

• Jae Hyun Lim, Aaron Courville, Christopher Pal, Chin-Wei Huang. "AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation" | [Home Page] | [PDF]

• Cong Han Lim, Raquel Urtasun, Ersin Yumer. "Hierarchical Verification for Adversarial Robustness" | [Home Page] | [PDF]

• Tianyi Lin, Chi Jin, Michael Jordan. "On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems" | [Home Page] | [PDF]

• Tao Lin, Lingjing Kong, Sebastian Stich, Martin Jaggi. "Extrapolation for Large-batch Training in Deep Learning" | [Home Page] | [PDF]

• Qiaohui Lin, Robert Lunde, Purnamrita Sarkar. "On the Theoretical Properties of the Network Jackknife" | [Home Page] | [PDF]

• Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan. "Handling the Positive-Definite Constraint in the Bayesian Learning Rule" | [Home Page] | [PDF]

• Zinan Lin, Kiran Thekumparampil, Giulia Fanti, Sewoong Oh. "InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs" | [Home Page] | [PDF]

• Zhixuan Lin, Yi-Fu Wu, Skand Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn. "Improving Generative Imagination in Object-Centric World Models" | [Home Page] | [PDF]

• Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo Seltzer. "Generalized and Scalable Optimal Sparse Decision Trees" | [Home Page] | [PDF]

• Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael Jordan. "Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games" | [Home Page] | [PDF]

• Vasileios Lioutas, Yuhong Guo. "Time-aware Large Kernel Convolutions" | [Home Page] | [PDF]

• Yao Liu, Pierre-Luc Bacon, Emma Brunskill. "Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling" | [Home Page] | [PDF]

• Guodong Liu, Hong Chen, Heng Huang. "Sparse Shrunk Additive Models" | [Home Page] | [PDF]

• Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie. "Boosting Deep Neural Network Efficiency with Dual-Module Inference" | [Home Page] | [PDF]

• Zhaoqiang Liu, Selwyn Gomes, Avtansh Tiwari, Jonathan Scarlett. "Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors" | [Home Page] | [PDF]

• Yang Liu, Hongyi Guo. "Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates" | [Home Page] | [PDF]

• Evan Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn. "An Imitation Learning Approach for Cache Replacement" | [Home Page] | [PDF]

• Xi Liu, Ping-Chun Hsieh, Yu Heng Hung, Anirban Bhattacharya, P. Kumar. "Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits" | [Home Page] | [PDF]

• Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar. "Hallucinative Topological Memory for Zero-Shot Visual Planning" | [Home Page] | [PDF]

• Xianggen Liu, Qiang Liu, Sen Song, Jian Peng. "A Chance-Constrained Generative Framework for Sequence Optimization" | [Home Page] | [PDF]

• Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O’Reilly. "Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks" | [Home Page] | [PDF]

• Weidong Liu, Xiaojun Mao, Raymond K. W. Wong. "Median Matrix Completion: from Embarrassment to Optimality" | [Home Page] | [PDF]

• Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang. "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton" | [Home Page] | [PDF]

• Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland. "Learning Deep Kernels for Non-Parametric Two-Sample Tests" | [Home Page] | [PDF]

• Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh. "Learning to Encode Position for Transformer with Continuous Dynamical Model" | [Home Page] | [PDF]

• Tianlin Liu, Friedemann Zenke. "Finding trainable sparse networks through Neural Tangent Transfer" | [Home Page] | [PDF]

• Francesco Locatello, Ben Poole, Gunnar Raetsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen. "Weakly-Supervised Disentanglement Without Compromises" | [Home Page] | [PDF]

• Michael Lohaus, Michael Perrot, Ulrike Von Luxburg. "Too Relaxed to Be Fair" | [Home Page] | [PDF]

• Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas. "Stochastic Hamiltonian Gradient Methods for Smooth Games" | [Home Page] | [PDF]

• Miles Lopes, N. Benjamin Erichson, Michael Mahoney. "Error Estimation for Sketched SVD via the Bootstrap" | [Home Page] | [PDF]

• Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Ser-Nam Lim, Christopher De Sa. "Differentiating through the Fréchet Mean" | [Home Page] | [PDF]

• Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht. "Working Memory Graphs" | [Home Page] | [PDF]

• Yucheng Lu, Christopher De Sa. "Moniqua: Modulo Quantized Communication in Decentralized SGD" | [Home Page] | [PDF]

• Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying. "A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth" | [Home Page] | [PDF]

• Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville, Olivier Pietquin. "Countering Language Drift with Seeded Iterated Learning" | [Home Page] | [PDF]

• Michal Lukasik, Srinadh Bhojanapalli, Aditya Menon, Sanjiv Kumar. "Does label smoothing mitigate label noise?" | [Home Page] | [PDF]

• Siqiang Luo. "Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study" | [Home Page] | [PDF]

• Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh. "Progressive Graph Learning for Open-Set Domain Adaptation" | [Home Page] | [PDF]

• Lei Luo, Yanfu Zhang, Heng Huang. "Adversarial Nonnegative Matrix Factorization" | [Home Page] | [PDF]

• Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh. "Learning Algebraic Multigrid Using Graph Neural Networks" | [Home Page] | [PDF]

• Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama. "Progressive Identification of True Labels for Partial-Label Learning" | [Home Page] | [PDF]

• Thodoris Lykouris, Vahab Mirrokni, Renato Paes Leme. "Bandits with Adversarial Scaling" | [Home Page] | [PDF]

• Pingchuan Ma, Tao Du, Wojciech Matusik. "Efficient Continuous Pareto Exploration in Multi-Task Learning" | [Home Page] | [PDF]

• Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang. "Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space" | [Home Page] | [PDF]

• Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey. "Normalized Loss Functions for Deep Learning with Noisy Labels" | [Home Page] | [PDF]

• Runchao Ma, Qihang Lin, Tianbao Yang. "Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints" | [Home Page] | [PDF]

• Shaocong Ma, Yi Zhou. "Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle" | [Home Page] | [PDF]

• Divyam Madaan, Jinwoo Shin, Sung Ju Hwang. "Adversarial Neural Pruning with Latent Vulnerability Suppression" | [Home Page] | [PDF]

• Sepideh Mahabadi, Ali Vakilian. "Individual Fairness for k-Clustering" | [Home Page] | [PDF]

• Debabrata Mahapatra, Vaibhav Rajan. "Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization" | [Home Page] | [PDF]

• Niru Maheswaranathan, David Sussillo. "How recurrent networks implement contextual processing in sentiment analysis" | [Home Page] | [PDF]

• Vien Mai, Mikael Johansson. "Anderson Acceleration of Proximal Gradient Methods" | [Home Page] | [PDF]

• Vien Mai, Mikael Johansson. "Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization" | [Home Page] | [PDF]

• Pratyush Maini, Eric Wong, Zico Kolter. "Adversarial Robustness Against the Union of Multiple Perturbation Models" | [Home Page] | [PDF]

• Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen Mcaleer, Kagan Tumer. "Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination" | [Home Page] | [PDF]

• Maggie Makar, Fredrik Johansson, John Guttag, David Sontag. "Estimation of Bounds on Potential Outcomes For Decision Making" | [Home Page] | [PDF]

• Ashok Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason Lee. "Optimal transport mapping via input convex neural networks" | [Home Page] | [PDF]

• Eran Malach, Gilad Yehudai, Shai Shalev-Schwartz, Ohad Shamir. "Proving the Lottery Ticket Hypothesis: Pruning is All You Need" | [Home Page] | [PDF]

• Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtarik. "From Local SGD to Local Fixed-Point Methods for Federated Learning" | [Home Page] | [PDF]

• Yura Malitsky, Konstantin Mishchenko. "Adaptive Gradient Descent without Descent" | [Home Page] | [PDF]

• Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, Sueyeon Chung. "Emergence of Separable Manifolds in Deep Language Representations" | [Home Page] | [PDF]

• Yuren Mao, Weiwei Liu, Xuemin Lin. "Adaptive Adversarial Multi-task Representation Learning" | [Home Page] | [PDF]

• Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya. "On Learning Sets of Symmetric Elements" | [Home Page] | [PDF]

• John Martin, Michal Lyskawinski, Xiaohu Li, Brendan Englot. "Stochastically Dominant Distributional Reinforcement Learning" | [Home Page] | [PDF]

• Natalia Martinez, Martin Bertran, Guillermo Sapiro. "Minimax Pareto Fairness: A Multi Objective Perspective" | [Home Page] | [PDF]

• Charles Marx, Flavio Calmon, Berk Ustun. "Predictive Multiplicity in Classification" | [Home Page] | [PDF]

• Christos Matsoukas, Albert Bou Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith. "Adding seemingly uninformative labels helps in low data regimes" | [Home Page] | [PDF]

• Robert Mattila, Cristian Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg. "Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations" | [Home Page] | [PDF]

• Eric Mazumdar, Aldo Pacchiano, Yian Ma, Michael Jordan, Peter Bartlett. "On Approximate Thompson Sampling with Langevin Algorithms" | [Home Page] | [PDF]

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• Jincheng Mei, Chenjun Xiao, Csaba Szepesvari, Dale Schuurmans. "On the Global Convergence Rates of Softmax Policy Gradient Methods" | [Home Page] | [PDF]

• Kunal Menda, Jean De Becdelievre, Jayesh Gupta, Ilan Kroo, Mykel Kochenderfer, Zachary Manchester. "Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM" | [Home Page] | [PDF]

• Celestine Mendler-Dünner, Aurelien Lucchi. "Randomized Block-Diagonal Preconditioning for Parallel Learning" | [Home Page] | [PDF]

• Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan. "Training Binary Neural Networks using the Bayesian Learning Rule" | [Home Page] | [PDF]

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• Petrus Mikkola, Milica Todorović, Jari Järvi, Patrick Rinke, Samuel Kaski. "Projective Preferential Bayesian Optimization" | [Home Page] | [PDF]

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• John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt. "The Effect of Natural Distribution Shift on Question Answering Models" | [Home Page] | [PDF]

• John Miller, Smitha Milli, Moritz Hardt. "Strategic Classification is Causal Modeling in Disguise" | [Home Page] | [PDF]

• Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen. "Automatic Shortcut Removal for Self-Supervised Representation Learning" | [Home Page] | [PDF]

• Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel. "Learning Reasoning Strategies in End-to-End Differentiable Proving" | [Home Page] | [PDF]

• Baharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec. "Coresets for Data-efficient Training of Machine Learning Models" | [Home Page] | [PDF]

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• Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio. "Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules" | [Home Page] | [PDF]

• Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier. "Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach" | [Home Page] | [PDF]

• Zahra Monfared, Daniel Durstewitz. "Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time" | [Home Page] | [PDF]

• Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nathan Srebro. "Efficiently Learning Adversarially Robust Halfspaces with Noise" | [Home Page] | [PDF]

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• Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang. "Confidence-Aware Learning for Deep Neural Networks" | [Home Page] | [PDF]

• Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt. "Topological Autoencoders" | [Home Page] | [PDF]

• Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost. "Explainable k-Means and k-Medians Clustering" | [Home Page] | [PDF]

• Hussein Mozannar, Mesrob Ohannessian, Nathan Srebro. "Fair Learning with Private Demographic Data" | [Home Page] | [PDF]

• Hussein Mozannar, David Sontag. "Consistent Estimators for Learning to Defer to an Expert" | [Home Page] | [PDF]

• Michael Muehlebach, Michael Jordan. "Continuous-time Lower Bounds for Gradient-based Algorithms" | [Home Page] | [PDF]

• Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun. "Two Simple Ways to Learn Individual Fairness Metrics from Data" | [Home Page] | [PDF]

• Rotem Mulayoff, Tomer Michaeli. "Unique Properties of Flat Minima in Deep Networks" | [Home Page] | [PDF]

• Remi Munos, Julien Perolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls. "Fast computation of Nash Equilibria in Imperfect Information Games" | [Home Page] | [PDF]

• Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi. "Missing Data Imputation using Optimal Transport" | [Home Page] | [PDF]

• Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar. "Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees" | [Home Page] | [PDF]

• Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser. "Full Law Identification in Graphical Models of Missing Data: Completeness Results" | [Home Page] | [PDF]

• Eliya Nachmani, Yossi Adi, Lior Wolf. "Voice Separation with an Unknown Number of Multiple Speakers" | [Home Page] | [PDF]

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• Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras. "From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics" | [Home Page] | [PDF]

• Markus Nagel, Rana Ali Amjad, Mart Van Baalen, Christos Louizos, Tijmen Blankevoort. "Up or Down? Adaptive Rounding for Post-Training Quantization" | [Home Page] | [PDF]

• Suraj Nair, Silvio Savarese, Chelsea Finn. "Goal-Aware Prediction: Learning to Model What Matters" | [Home Page] | [PDF]

• Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter Battaglia. "PolyGen: An Autoregressive Generative Model of 3D Meshes" | [Home Page] | [PDF]

• Ivan Nazarov, Evgeny Burnaev. "Bayesian Sparsification of Deep C-valued Networks" | [Home Page] | [PDF]

• Seth Neel, Aaron Roth, Giuseppe Vietri, Steven Wu. "Oracle Efficient Private Non-Convex Optimization" | [Home Page] | [PDF]

• Geoffrey Negiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa. "Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization" | [Home Page] | [PDF]

• Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel Roy. "In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors" | [Home Page] | [PDF]

• Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry Vetrov. "Involutive MCMC: a Unifying Framework" | [Home Page] | [PDF]

• Tuan-Binh Nguyen, Jerome-Alexis Chevalier, Bertrand Thirion, Sylvain Arlot. "Aggregation of Multiple Knockoffs" | [Home Page] | [PDF]

• Cuong Nguyen, Tal Hassner, Matthias Seeger, Cedric Archambeau. "LEEP: A New Measure to Evaluate Transferability of Learned Representations" | [Home Page] | [PDF]

• Hoang Nguyen, Takanori Maehara. "Graph Homomorphism Convolution" | [Home Page] | [PDF]

• Vu Nguyen, Michael A. Osborne. "Knowing The What But Not The Where in Bayesian Optimization" | [Home Page] | [PDF]

• Viet Anh Nguyen, Nian Si, Jose Blanchet. "Robust Bayesian Classification Using An Optimistic Score Ratio" | [Home Page] | [PDF]

• Lan Nguyen, My T. Thai. "Streaming k-Submodular Maximization under Noise subject to Size Constraint" | [Home Page] | [PDF]

• Vlad Niculae, Andre Martins. "LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction" | [Home Page] | [PDF]

• Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel, Animashree Anandkumar. "Semi-Supervised StyleGAN for Disentanglement Learning" | [Home Page] | [PDF]

• Richard Nock, Aditya Menon. "Supervised learning: no loss no cry" | [Home Page] | [PDF]

• Alex Nowak, Francis Bach, Alessandro Rudi. "Consistent Structured Prediction with Max-Min Margin Markov Networks" | [Home Page] | [PDF]

• Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool. "T-Basis: a Compact Representation for Neural Networks" | [Home Page] | [PDF]

• Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan Shell. "Eliminating the Invariance on the Loss Landscape of Linear Autoencoders" | [Home Page] | [PDF]

• Naoto Ohsaka, Tatsuya Matsuoka. "On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes" | [Home Page] | [PDF]

• Kei Ota, Tomoaki Oiki, Devesh Jha, Toshisada Mariyama, Daniel Nikovski. "Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?" | [Home Page] | [PDF]

• Edouard Oyallon. "Interferometric Graph Transform: a Deep Unsupervised Graph Representation" | [Home Page] | [PDF]

• Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael Jordan. "Learning to Score Behaviors for Guided Policy Optimization" | [Home Page] | [PDF]

• Ari Pakman, Yueqi Wang, Catalin Mitelut, Jinhyung Lee, Liam Paninski. "Neural Clustering Processes" | [Home Page] | [PDF]

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• Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li. "Adversarial Mutual Information for Text Generation" | [Home Page] | [PDF]

• Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell. "Stabilizing Transformers for Reinforcement Learning" | [Home Page] | [PDF]

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• Youngsuk Park, Ryan Rossi, Zheng Wen, Gang Wu, Handong Zhao. "Structured Policy Iteration for Linear Quadratic Regulator" | [Home Page] | [PDF]

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• Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van Den Broeck, Kristian Kersting, Zoubin Ghahramani. "Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits" | [Home Page] | [PDF]

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• Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun. "Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning" | [Home Page] | [PDF]

• Marc Pfetsch, Sebastian Pokutta. "IPBoost – Non-Convex Boosting via Integer Programming" | [Home Page] | [PDF]

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• Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi. "Efficient Domain Generalization via Common-Specific Low-Rank Decomposition" | [Home Page] | [PDF]

• Konstantinos Pitas. "Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation" | [Home Page] | [PDF]

• Silviu Pitis, Harris Chan, Stephen Zhao, Bradly Stadie, Jimmy Ba. "Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning" | [Home Page] | [PDF]

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• Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine. "Skew-Fit: State-Covering Self-Supervised Reinforcement Learning" | [Home Page] | [PDF]

• Sebastian Prillo, Julian Eisenschlos. "SoftSort: A Continuous Relaxation for the argsort Operator" | [Home Page] | [PDF]

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• Muni Sreenivas Pydi, Varun Jog. "Adversarial Risk via Optimal Transport and Optimal Couplings" | [Home Page] | [PDF]

• Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik. "Deep Isometric Learning for Visual Recognition" | [Home Page] | [PDF]

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• Shuang Qiu, Xiaohan Wei, Zhuoran Yang. "Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis" | [Home Page] | [PDF]

• Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux, Jian Tang. "Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs" | [Home Page] | [PDF]

• Thomas Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh. "DeepCoDA: personalized interpretability for compositional health data" | [Home Page] | [PDF]

• Akbar Rafiey, Yuichi Yoshida. "Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints" | [Home Page] | [PDF]

• Hassan Rafique, Tong Wang, Qihang Lin, Arshia Singhani. "Transparency Promotion with Model-Agnostic Linear Competitors" | [Home Page] | [PDF]

• Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang. "Understanding and Mitigating the Tradeoff between Robustness and Accuracy" | [Home Page] | [PDF]

• Roberta Raileanu, Max Goldstein, Arthur Szlam, Rob Fergus. "Fast Adaptation to New Environments via Policy-Dynamics Value Functions" | [Home Page] | [PDF]

• Ankit Raj, Yoram Bresler, Bo Li. "Improving Robustness of Deep-Learning-Based Image Reconstruction" | [Home Page] | [PDF]

• Aditya Rajagopal, Diederik Vink, Stylianos Venieris, Christos-Savvas Bouganis. "Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs" | [Home Page] | [PDF]

• Aravind Rajeswaran, Igor Mordatch, Vikash Kumar. "A Game Theoretic Framework for Model Based Reinforcement Learning" | [Home Page] | [PDF]

• Shashank Rajput, Anant Gupta, Dimitris Papailiopoulos. "Closing the convergence gap of SGD without replacement" | [Home Page] | [PDF]

• Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla. "Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning" | [Home Page] | [PDF]

• Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu. "Implicit Generative Modeling for Efficient Exploration" | [Home Page] | [PDF]

• Siamak Ravanbakhsh. "Universal Equivariant Multilayer Perceptrons" | [Home Page] | [PDF]

• Esteban Real, Chen Liang, David So, Quoc Le. "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch" | [Home Page] | [PDF]

• Siddharth Reddy, Anca Dragan, Sergey Levine, Shane Legg, Jan Leike. "Learning Human Objectives by Evaluating Hypothetical Behavior" | [Home Page] | [PDF]

• Henry Reeve, Ata Kaban. "Optimistic Bounds for Multi-output Learning" | [Home Page] | [PDF]

• Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates. "Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation" | [Home Page] | [PDF]

• Wenbo Ren, Jia Liu, Ness Shroff. "The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons" | [Home Page] | [PDF]

• Luca Rendsburg, Holger Heidrich, Ulrike Von Luxburg. "NetGAN without GAN: From Random Walks to Low-Rank Approximations" | [Home Page] | [PDF]

• Danilo Jimenez Rezende, George Papamakarios, Sebastien Racaniere, Michael Albergo, Gurtej Kanwar, Phiala Shanahan, Kyle Cranmer. "Normalizing Flows on Tori and Spheres" | [Home Page] | [PDF]

• Leslie Rice, Eric Wong, Zico Kolter. "Overfitting in adversarially robust deep learning" | [Home Page] | [PDF]

• Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco. "Decentralised Learning with Random Features and Distributed Gradient Descent" | [Home Page] | [PDF]

• Laura Rieger, Chandan Singh, William Murdoch, Bin Yu. "Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge" | [Home Page] | [PDF]

• Joshua Robinson, Stefanie Jegelka, Suvrit Sra. "Strength from Weakness: Fast Learning Using Weak Supervision" | [Home Page] | [PDF]

• Veronika Rockova. "On Semi-parametric Inference for BART" | [Home Page] | [PDF]

• Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh. "FR-Train: A Mutual Information-Based Approach to Fair and Robust Training" | [Home Page] | [PDF]

• Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjorkegren, Moritz Hardt, Joshua Blumenstock. "Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning" | [Home Page] | [PDF]

• Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher. "Double-Loop Unadjusted Langevin Algorithm" | [Home Page] | [PDF]

• David Rolnick, Konrad Kording. "Reverse-engineering deep ReLU networks" | [Home Page] | [PDF]

• David Romero, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn. "Attentive Group Equivariant Convolutional Networks" | [Home Page] | [PDF]

• Orlando Romero, Mouhacine Benosman. "Finite-Time Convergence in Continuous-Time Optimization" | [Home Page] | [PDF]

• Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan. "Near-optimal Regret Bounds for Stochastic Shortest Path" | [Home Page] | [PDF]

• Nir Rosenfeld, Kojin Oshiba, Yaron Singer. "Predicting Choice with Set-Dependent Aggregation" | [Home Page] | [PDF]

• Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter. "Certified Robustness to Label-Flipping Attacks via Randomized Smoothing" | [Home Page] | [PDF]

• Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen. "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" | [Home Page] | [PDF]

• Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora. "FetchSGD: Communication-Efficient Federated Learning with Sketching" | [Home Page] | [PDF]

• Václav Rozhoň. "Simple and sharp analysis of k-means||" | [Home Page] | [PDF]

• Binxin Ru, Ahsan Alvi, Vu Nguyen, Michael A. Osborne, Stephen Roberts. "Bayesian Optimisation over Multiple Continuous and Categorical Inputs" | [Home Page] | [PDF]

• Tim G. J. Rudner, Dino Sejdinovic, Yarin Gal. "Inter-domain Deep Gaussian Processes" | [Home Page] | [PDF]

• Chaitanya Ryali, John Hopfield, Leopold Grinberg, Dmitry Krotov. "Bio-Inspired Hashing for Unsupervised Similarity Search" | [Home Page] | [PDF]

• Parsa Saadatpanah, Ali Shafahi, Tom Goldstein. "Adversarial Attacks on Copyright Detection Systems" | [Home Page] | [PDF]

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• Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Herve Jegou. "Radioactive data: tracing through training" | [Home Page] | [PDF]

• Basil Saeed, Snigdha Panigrahi, Caroline Uhler. "Causal Structure Discovery from Distributions Arising from Mixtures of DAGs" | [Home Page] | [PDF]

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• Aytunc Sahin, Yatao Bian, Joachim Buhmann, Andreas Krause. "From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models" | [Home Page] | [PDF]

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• Elad Sarafian, Mor Sinay, Yoram Louzoun, Noa Agmon, Sarit Kraus. "Explicit Gradient Learning for Black-Box Optimization" | [Home Page] | [PDF]

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• Yaotian Wang, Xiaohang Sun, Jason Fleischer. "When deep denoising meets iterative phase retrieval" | [Home Page] | [PDF]

• Qi Wang, Herke Van Hoof. "Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables" | [Home Page] | [PDF]

• Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, Tao Mei. "Loss Function Search for Face Recognition" | [Home Page] | [PDF]

• Junqi Wang, Pei Wang, Patrick Shafto. "Sequential Cooperative Bayesian Inference" | [Home Page] | [PDF]

• Yuh-Shyang Wang, Lily Weng, Luca Daniel. "Neural Network Control Policy Verification With Persistent Adversarial Perturbation" | [Home Page] | [PDF]

• Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou. "Cost-effectively Identifying Causal Effects When Only Response Variable is Observable" | [Home Page] | [PDF]

• Che Wang, Yanqiu Wu, Quan Vuong, Keith Ross. "Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling" | [Home Page] | [PDF]

• Di Wang, Hanshen Xiao, Srinivas Devadas, Jinhui Xu. "On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data" | [Home Page] | [PDF]

• Lingxiao Wang, Zhuoran Yang, Zhaoran Wang. "Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning" | [Home Page] | [PDF]

• Yihan Wang, Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh. "On Lp-norm Robustness of Ensemble Decision Stumps and Trees" | [Home Page] | [PDF]

• Zhendong Wang, Mingyuan Zhou. "Thompson Sampling via Local Uncertainty" | [Home Page] | [PDF]

• Peng Wang, Zirui Zhou, Anthony Man-Cho So. "A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model" | [Home Page] | [PDF]

• Taylor Webb, Zachary Dulberg, Steven Frankland, Alexander Petrov, Randall O’Reilly, Jonathan Cohen. "Learning Representations that Support Extrapolation" | [Home Page] | [PDF]

• Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang. "Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems" | [Home Page] | [PDF]

• Chen-Yu Wei, Mehdi Jafarnia Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain. "Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes" | [Home Page] | [PDF]

• Colin Wei, Sham Kakade, Tengyu Ma. "The Implicit and Explicit Regularization Effects of Dropout" | [Home Page] | [PDF]

• Asaf Weinstein, Aaditya Ramdas. "Online Control of the False Coverage Rate and False Sign Rate" | [Home Page] | [PDF]

• Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans. "Batch Stationary Distribution Estimation" | [Home Page] | [PDF]

• Junfeng Wen, Russell Greiner, Dale Schuurmans. "Domain Aggregation Networks for Multi-Source Domain Adaptation" | [Home Page] | [PDF]

• Yuxin Wen, Shuai Li, Kui Jia. "Towards Understanding the Regularization of Adversarial Robustness on Neural Networks" | [Home Page] | [PDF]

• Li Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani. "Amortised Learning by Wake-Sleep" | [Home Page] | [PDF]

• Florian Wenzel, Kevin Roth, Bastiaan Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin. "How Good is the Bayes Posterior in Deep Neural Networks Really?" | [Home Page] | [PDF]

• Auke Wiggers, Emiel Hoogeboom. "Predictive Sampling with Forecasting Autoregressive Models" | [Home Page] | [PDF]

• William Wilkinson, Paul Chang, Michael Andersen, Arno Solin. "State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes" | [Home Page] | [PDF]

• Brian Williamson, Jean Feng. "Efficient nonparametric statistical inference on population feature importance using Shapley values" | [Home Page] | [PDF]

• James Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Deisenroth. "Efficiently sampling functions from Gaussian process posteriors" | [Home Page] | [PDF]

• Martin Wistuba, Tejaswini Pedapati. "Learning to Rank Learning Curves" | [Home Page] | [PDF]

• Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka. "Causal Inference using Gaussian Processes with Structured Latent Confounders" | [Home Page] | [PDF]

• David Woodruff, Amir Zandieh. "Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling" | [Home Page] | [PDF]

• Blake Woodworth, Kumar Kshitij Patel, Sebastian Stich, Zhen Dai, Brian Bullins, Brendan Mcmahan, Ohad Shamir, Nathan Srebro. "Is Local SGD Better than Minibatch SGD?" | [Home Page] | [PDF]

• Jingfeng Wu, Vladimir Braverman, Lin Yang. "Obtaining Adjustable Regularization for Free via Iterate Averaging" | [Home Page] | [PDF]

• Yinjun Wu, Edgar Dobriban, Susan Davidson. "DeltaGrad: Rapid retraining of machine learning models" | [Home Page] | [PDF]

• Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu. "On the Noisy Gradient Descent that Generalizes as SGD" | [Home Page] | [PDF]

• Kaiwen Wu, Allen Wang, Yaoliang Yu. "Stronger and Faster Wasserstein Adversarial Attacks" | [Home Page] | [PDF]

• Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tieyan Liu. "Sequence Generation with Mixed Representations" | [Home Page] | [PDF]

• Yi-Hsuan Wu, Chia-Hung Yuan, Shan-Hung Wu. "Adversarial Robustness via Runtime Masking and Cleansing" | [Home Page] | [PDF]

• Sen Wu, Hongyang Zhang, Gregory Valiant, Christopher Re. "On the Generalization Effects of Linear Transformations in Data Augmentation" | [Home Page] | [PDF]

• Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem Van De Meent. "Amortized Population Gibbs Samplers with Neural Sufficient Statistics" | [Home Page] | [PDF]

• Louis-Pascal Xhonneux, Meng Qu, Jian Tang. "Continuous Graph Neural Networks" | [Home Page] | [PDF]

• Yunhua Xiang, Noah Simon. "A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning" | [Home Page] | [PDF]

• Changyi Xiao, Ligang Liu. "Generative Flows with Matrix Exponential" | [Home Page] | [PDF]

• Lechao Xiao, Jeffrey Pennington, Samuel Schoenholz. "Disentangling Trainability and Generalization in Deep Neural Networks" | [Home Page] | [PDF]

• Yuxuan Xie, Jilles Dibangoye, Olivier Buffet. "Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing" | [Home Page] | [PDF]

• Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin. "Maximum-and-Concatenation Networks" | [Home Page] | [PDF]

• Cong Xie, Sanmi Koyejo, Indranil Gupta. "Zeno++: Robust Fully Asynchronous SGD" | [Home Page] | [PDF]

• Guangzeng Xie, Luo Luo, Yijiang Lian, Zhihua Zhang. "Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems" | [Home Page] | [PDF]

• Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao. "On the Number of Linear Regions of Convolutional Neural Networks" | [Home Page] | [PDF]

• Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tieyan Liu. "On Layer Normalization in the Transformer Architecture" | [Home Page] | [PDF]

• Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao. "On Variational Learning of Controllable Representations for Text without Supervision" | [Home Page] | [PDF]

• Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar. "Class-Weighted Classification: Trade-offs and Robust Approaches" | [Home Page] | [PDF]

• Pan Xu, Quanquan Gu. "A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation" | [Home Page] | [PDF]

• Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang. "Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory" | [Home Page] | [PDF]

• Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin. "Learning Autoencoders with Relational Regularization" | [Home Page] | [PDF]

• Xiangyu Xu, Yongrui Ma, Wenxiu Sun. "Learning Factorized Weight Matrix for Joint Filtering" | [Home Page] | [PDF]

• Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng. "Variational Label Enhancement" | [Home Page] | [PDF]

• Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik. "Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control" | [Home Page] | [PDF]

• Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam Kosiorek, Yee Whye Teh. "MetaFun: Meta-Learning with Iterative Functional Updates" | [Home Page] | [PDF]

• Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell. "Video Prediction via Example Guidance" | [Home Page] | [PDF]

• Tianju Xue, Alex Beatson, Sigrid Adriaenssens, Ryan Adams. "Amortized Finite Element Analysis for Fast PDE-Constrained Optimization" | [Home Page] | [PDF]

• Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger. "Feature Selection using Stochastic Gates" | [Home Page] | [PDF]

• Yan Yan, Yi Xu, Lijun Zhang, Wang Xiaoyu, Tianbao Yang. "Stochastic Optimization for Non-convex Inf-Projection Problems" | [Home Page] | [PDF]

• Yibo Yang, Robert Bamler, Stephan Mandt. "Variational Bayesian Quantization" | [Home Page] | [PDF]

• Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans. "Energy-Based Processes for Exchangeable Data" | [Home Page] | [PDF]

• Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li. "Randomized Smoothing of All Shapes and Sizes" | [Home Page] | [PDF]

• Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei. "Q-value Path Decomposition for Deep Multiagent Reinforcement Learning" | [Home Page] | [PDF]

• Kevin Yang, Wengong Jin, Kyle Swanson, Dr.Regina Barzilay, Tommi Jaakkola. "Improving Molecular Design by Stochastic Iterative Target Augmentation" | [Home Page] | [PDF]

• Forest Yang, Sanmi Koyejo. "On the consistency of top-k surrogate losses" | [Home Page] | [PDF]

• Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi. "Interpolation between Residual and Non-Residual Networks" | [Home Page] | [PDF]

• Lin Yang, Mengdi Wang. "Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound" | [Home Page] | [PDF]

• Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang. "Multi-Agent Determinantal Q-Learning" | [Home Page] | [PDF]

• Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma. "Rethinking Bias-Variance Trade-off for Generalization of Neural Networks" | [Home Page] | [PDF]

• Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang. "Unsupervised Transfer Learning for Spatiotemporal Predictive Networks" | [Home Page] | [PDF]

• Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok. "Searching to Exploit Memorization Effect in Learning with Noisy Labels" | [Home Page] | [PDF]

• Michihiro Yasunaga, Percy Liang. "Graph-based, Self-Supervised Program Repair from Diagnostic Feedback" | [Home Page] | [PDF]

• Hui Ye, Zhiyu Chen, Da-Han Wang, Brian Davison. "Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification" | [Home Page] | [PDF]

• Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu. "Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection" | [Home Page] | [PDF]

• Gal Yehuda, Moshe Gabel, Assaf Schuster. "It’s Not What Machines Can Learn, It’s What We Cannot Teach" | [Home Page] | [PDF]

• Jinsung Yoon, Sercan Arik, Tomas Pfister. "Data Valuation using Reinforcement Learning" | [Home Page] | [PDF]

• Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon. "XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning" | [Home Page] | [PDF]

• Jaesik Yoon, Gautam Singh, Sungjin Ahn. "Robustifying Sequential Neural Processes" | [Home Page] | [PDF]

• Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen. "When Does Self-Supervision Help Graph Convolutional Networks?" | [Home Page] | [PDF]

• Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie. "Graph Structure of Neural Networks" | [Home Page] | [PDF]

• Yang Yu, Shih-Kang Chao, Guang Cheng. "Simultaneous Inference for Massive Data: Distributed Bootstrap" | [Home Page] | [PDF]

• Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel. "Graphical Models Meet Bandits: A Variational Thompson Sampling Approach" | [Home Page] | [PDF]

• Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao. "Label-Noise Robust Domain Adaptation" | [Home Page] | [PDF]

• Xingrui Yu, Yueming Lyu, Ivor Tsang. "Intrinsic Reward Driven Imitation Learning via Generative Model" | [Home Page] | [PDF]

• Wenhui Yu, Zheng Qin. "Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters" | [Home Page] | [PDF]

• Felix Yu, Ankit Singh Rawat, Aditya Menon, Sanjiv Kumar. "Federated Learning with Only Positive Labels" | [Home Page] | [PDF]

• Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon. "Training Deep Energy-Based Models with f-Divergence Minimization" | [Home Page] | [PDF]

• Daniele Zambon, Cesare Alippi, Lorenzo Livi. "Graph Random Neural Features for Distance-Preserving Graph Representations" | [Home Page] | [PDF]

• Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer, Emma Brunskill. "Learning Near Optimal Policies with Low Inherent Bellman Error" | [Home Page] | [PDF]

• Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van Den Broeck. "Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing" | [Home Page] | [PDF]

• Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht. "Learning Calibratable Policies using Programmatic Style-Consistency" | [Home Page] | [PDF]

• Junzhe Zhang. "Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach" | [Home Page] | [PDF]

• Yuhao Zhang, Aws Albarghouthi, Loris D’Antoni. "Robustness to Programmable String Transformations via Augmented Abstract Training" | [Home Page] | [PDF]

• Youzhi Zhang, Bo An. "Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games" | [Home Page] | [PDF]

• Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang. "Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate" | [Home Page] | [PDF]

• Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman. "Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings" | [Home Page] | [PDF]

• Hanrui Zhang, Vincent Conitzer. "Learning the Valuations of a $k$-demand Agent" | [Home Page] | [PDF]

• Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai. "A Tree-Structured Decoder for Image-to-Markup Generation" | [Home Page] | [PDF]

• Han Zhang, Xi Gao, Jacob Unterman, Tom Arodz. "Approximation Capabilities of Neural ODEs and Invertible Residual Networks" | [Home Page] | [PDF]

• Richard Zhang, Daniel Golovin. "Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization" | [Home Page] | [PDF]

• Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber. "Spread Divergence" | [Home Page] | [PDF]

• Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han. "Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning" | [Home Page] | [PDF]

• Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Steven Wu. "Privately Learning Markov Random Fields" | [Home Page] | [PDF]

• Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro. "Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective" | [Home Page] | [PDF]

• Hang Zhang, Ping Li. "Optimal Estimator for Unlabeled Linear Regression" | [Home Page] | [PDF]

• Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian. "Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks" | [Home Page] | [PDF]

• Jingzhao Zhang, Hongzhou Lin, Stefanie Jegelka, Suvrit Sra, Ali Jadbabaie. "Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions" | [Home Page] | [PDF]

• Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz. "Self-Attentive Hawkes Process" | [Home Page] | [PDF]

• Shangtong Zhang, Bo Liu, Shimon Whiteson. "GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values" | [Home Page] | [PDF]

• Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson. "Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation" | [Home Page] | [PDF]

• Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup. "Invariant Causal Prediction for Block MDPs" | [Home Page] | [PDF]

• Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu. "Adaptive Reward-Poisoning Attacks against Reinforcement Learning" | [Home Page] | [PDF]

• Wei Zhang, Thomas Panum, Somesh Jha, Prasad Chalasani, David Page. "CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods" | [Home Page] | [PDF]

• Mingyuan Zhang, Harish Guruprasad Ramaswamy, Shivani Agarwal. "Convex Calibrated Surrogates for the Multi-Label F-Measure" | [Home Page] | [PDF]

• Brian Zhang, Tuomas Sandholm. "Sparsified Linear Programming for Zero-Sum Equilibrium Finding" | [Home Page] | [PDF]

• Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong. "Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case" | [Home Page] | [PDF]

• Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli. "Attacks Which Do Not Kill Training Make Adversarial Learning Stronger" | [Home Page] | [PDF]

• Xuefei Zhang, Songkai Xue, Ji Zhu. "A Flexible Latent Space Model for Multilayer Networks" | [Home Page] | [PDF]

• Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull. "Perceptual Generative Autoencoders" | [Home Page] | [PDF]

• Jianyi Zhang, Yang Zhao, Changyou Chen. "Variance Reduction in Stochastic Particle-Optimization Sampling" | [Home Page] | [PDF]

• Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou. "Learning with Feature and Distribution Evolvable Streams" | [Home Page] | [PDF]

• Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter Liu. "PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization" | [Home Page] | [PDF]

• Miaoyun Zhao, Yulai Cong, Lawrence Carin. "On Leveraging Pretrained GANs for Generation with Limited Data" | [Home Page] | [PDF]

• Han Zhao, Junjie Hu, Andrej Risteski. "On Learning Language-Invariant Representations for Universal Machine Translation" | [Home Page] | [PDF]

• Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian. "Do RNN and LSTM have Long Memory?" | [Home Page] | [PDF]

• Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen. "Feature Quantization Improves GAN Training" | [Home Page] | [PDF]

• Shengjia Zhao, Tengyu Ma, Stefano Ermon. "Individual Calibration with Randomized Forecasting" | [Home Page] | [PDF]

• Arman Zharmagambetov, Miguel Carreira-Perpinan. "Smaller, more accurate regression forests using tree alternating optimization" | [Home Page] | [PDF]

• Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek. "Learning to Learn Kernels with Variational Random Features" | [Home Page] | [PDF]

• Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie Su. "Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion" | [Home Page] | [PDF]

• Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado Van Hasselt, David Silver, Satinder Singh. "What Can Learned Intrinsic Rewards Capture?" | [Home Page] | [PDF]

• Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, Chao Chen. "Error-Bounded Correction of Noisy Labels" | [Home Page] | [PDF]

• Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang. "Robust Graph Representation Learning via Neural Sparsification" | [Home Page] | [PDF]

• Anton Zhiyanov, Alexey Drutsa. "Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer" | [Home Page] | [PDF]

• Zixin Zhong, Wang Chi Cheung, Vincent Tan. "Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting" | [Home Page] | [PDF]

• Dongruo Zhou, Lihong Li, Quanquan Gu. "Neural Contextual Bandits with UCB-based Exploration" | [Home Page] | [PDF]

• Xichuan Zhou, Yicong Peng, Chunqiao Long, Fengbo Ren, Cong Shi. "MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time" | [Home Page] | [PDF]

• Yuhao Zhou, Jiaxin Shi, Jun Zhu. "Nonparametric Score Estimators" | [Home Page] | [PDF]

• Tianyi Zhou, Shengjie Wang, Jeff Bilmes. "Time-Consistent Self-Supervision for Semi-Supervised Learning" | [Home Page] | [PDF]

• Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth. "Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support" | [Home Page] | [PDF]

• Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans. "Go Wide, Then Narrow: Efficient Training of Deep Thin Networks" | [Home Page] | [PDF]

• Pan Zhou, Xiao-Tong Yuan. "Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization" | [Home Page] | [PDF]

• Yinglun Zhu, Sumeet Katariya, Robert Nowak. "Robust Outlier Arm Identification" | [Home Page] | [PDF]

• Michael Zhu, Chang Liu, Jun Zhu. "Variance Reduction and Quasi-Newton for Particle-Based Variational Inference" | [Home Page] | [PDF]

• Liangyu Zhu, Wenbin Lu, Rui Song. "Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health" | [Home Page] | [PDF]

• Qiuyu Zhu, Vincent Tan. "Thompson Sampling Algorithms for Mean-Variance Bandits" | [Home Page] | [PDF]

• Sicheng Zhu, Xiao Zhang, David Evans. "Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization" | [Home Page] | [PDF]

• Daoli Zhu, Lei Zhao. "Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming" | [Home Page] | [PDF]

• Feng Zhu, Zeyu Zheng. "When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment" | [Home Page] | [PDF]

• Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James Duncan. "Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE" | [Home Page] | [PDF]

• Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai. "Learning Optimal Tree Models under Beam Search" | [Home Page] | [PDF]

• Imtiaz Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed. "Laplacian Regularized Few-Shot Learning" | [Home Page] | [PDF]

• Christoph Zimmer, Reza Yaesoubi. "Influenza Forecasting Framework based on Gaussian Processes" | [Home Page] | [PDF]

• David Zoltowski, Jonathan Pillow, Scott Linderman. "A general recurrent state space framework for modeling neural dynamics during decision-making" | [Home Page] | [PDF]

• Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha. "Transformer Hawkes Process" | [Home Page] | [PDF]