icml2022.md

ICML2022

• Alhabib Abbas, Yiannis Andreopoulos. "PAC-Bayesian Bounds on Rate-Efficient Classifiers" | [Home Page] | [PDF]

• Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen. "Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning" | [Home Page] | [PDF]

• Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Christopher Marquis. "An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn" | [Home Page] | [PDF]

• Jacob D Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang. "Active Sampling for Min-Max Fairness" | [Home Page] | [PDF]

• Abubakar Abid, Mert Yuksekgonul, James Zou. "Meaningfully debugging model mistakes using conceptual counterfactual explanations" | [Home Page] | [PDF]

• Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan. "Batched Dueling Bandits" | [Home Page] | [PDF]

• Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu. "Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models." | [Home Page] | [PDF]

• Atish Agarwala, Samuel S Schoenholz. "Deep equilibrium networks are sensitive to initialization statistics" | [Home Page] | [PDF]

• Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu. "Learning of Cluster-based Feature Importance for Electronic Health Record Time-series" | [Home Page] | [PDF]

• Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low. "On the Convergence of the Shapley Value in Parametric Bayesian Learning Games" | [Home Page] | [PDF]

• Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian. "Individual Preference Stability for Clustering" | [Home Page] | [PDF]

• Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra. "Understanding the unstable convergence of gradient descent" | [Home Page] | [PDF]

• Sina Akbari, Jalal Etesami, Negar Kiyavash. "Minimum Cost Intervention Design for Causal Effect Identification" | [Home Page] | [PDF]

• Ahmed Alaa, Boris Van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar. "How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models" | [Home Page] | [PDF]

• Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher. "A Natural Actor-Critic Framework for Zero-Sum Markov Games" | [Home Page] | [PDF]

• Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt. "Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations" | [Home Page] | [PDF]

• Lucas Nunes Alegre, Ana Bazzan, Bruno C. Da Silva. "Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer" | [Home Page] | [PDF]

• Antonios Alexos, Alex J Boyd, Stephan Mandt. "Structured Stochastic Gradient MCMC" | [Home Page] | [PDF]

• Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf. "XAI for Transformers: Better Explanations through Conservative Propagation" | [Home Page] | [PDF]

• Matteo Almanza, Flavio Chierichetti, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins. "RUMs from Head-to-Head Contests" | [Home Page] | [PDF]

• Uri Alon, Frank Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig. "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" | [Home Page] | [PDF]

• Verónica Álvarez, Santiago Mazuelas, Jose A Lozano. "Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees" | [Home Page] | [PDF]

• Sebastian E Ament, Carla P Gomes. "Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation" | [Home Page] | [PDF]

• Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Thomas Steinke, Vinith M Suriyakumar, Om Thakkar, Abhradeep Thakurta. "Public Data-Assisted Mirror Descent for Private Model Training" | [Home Page] | [PDF]

• Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm. "On Last-Iterate Convergence Beyond Zero-Sum Games" | [Home Page] | [PDF]

• Keerti Anand, Rong Ge, Amit Kumar, Debmalya Panigrahi. "Online Algorithms with Multiple Predictions" | [Home Page] | [PDF]

• Alexandr Andoni, Daniel Beaglehole. "Learning to Hash Robustly, Guaranteed" | [Home Page] | [PDF]

• Bruno Andreis, Seanie Lee, A. Tuan Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang. "Set Based Stochastic Subsampling" | [Home Page] | [PDF]

• Maksym Andriushchenko, Nicolas Flammarion. "Towards Understanding Sharpness-Aware Minimization" | [Home Page] | [PDF]

• Haris Angelidakis, Adam Kurpisz, Leon Sering, Rico Zenklusen. "Fair and Fast k-Center Clustering for Data Summarization" | [Home Page] | [PDF]

• Rico Angell, Nicholas Monath, Nishant Yadav, Andrew Mccallum. "Interactive Correlation Clustering with Existential Cluster Constraints" | [Home Page] | [PDF]

• Anastasios N Angelopoulos, Amit Pal Kohli, Stephen Bates, Michael Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano. "Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging" | [Home Page] | [PDF]

• Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang. "AdaGrad Avoids Saddle Points" | [Home Page] | [PDF]

• Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Levy, Panayotis Mertikopoulos. "UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees" | [Home Page] | [PDF]

• Javier Antoran, David Janz, James U Allingham, Erik Daxberger, Riccardo Rb Barbano, Eric Nalisnick, Jose Miguel Hernandez-Lobato. "Adapting the Linearised Laplace Model Evidence for Modern Deep Learning" | [Home Page] | [PDF]

• Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang. "EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning" | [Home Page] | [PDF]

• David Arbour, Drew Dimmery, Tung Mai, Anup Rao. "Online Balanced Experimental Design" | [Home Page] | [PDF]

• Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J Mortazavi, Shuai Huang, Xiaoning Qian. "VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty" | [Home Page] | [PDF]

• Kaito Ariu, Kenshi Abe, Alexandre Proutiere. "Thresholded Lasso Bandit" | [Home Page] | [PDF]

• Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar. "Gradient Based Clustering" | [Home Page] | [PDF]

• Sanjeev Arora, Zhiyuan Li, Abhishek Panigrahi. "Understanding Gradient Descent on the Edge of Stability in Deep Learning" | [Home Page] | [PDF]

• Hilal Asi, Karan Chadha, Gary Cheng, John Duchi. "Private optimization in the interpolation regime: faster rates and hardness results" | [Home Page] | [PDF]

• Hilal Asi, Vitaly Feldman, Kunal Talwar. "Optimal Algorithms for Mean Estimation under Local Differential Privacy" | [Home Page] | [PDF]

• Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai. "Asymptotically-Optimal Gaussian Bandits with Side Observations" | [Home Page] | [PDF]

• Pranjal Awasthi, Kush Bhatia, Sreenivas Gollapudi, Kostas Kollias. "Congested Bandits: Optimal Routing via Short-term Resets" | [Home Page] | [PDF]

• Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath. "Do More Negative Samples Necessarily Hurt In Contrastive Learning?" | [Home Page] | [PDF]

• Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong. "H-Consistency Bounds for Surrogate Loss Minimizers" | [Home Page] | [PDF]

• Kyriakos Axiotis, Maxim Sviridenko. "Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime" | [Home Page] | [PDF]

• Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen M Mcaleer, Vlad Firoiu, Lei M Zhang, Doina Precup, Shibl Mourad. "Proving Theorems using Incremental Learning and Hindsight Experience Replay" | [Home Page] | [PDF]

• Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet. "Near-optimal rate of consistency for linear models with missing values" | [Home Page] | [PDF]

• Gregor Bachmann, Lorenzo Noci, Thomas Hofmann. "How Tempering Fixes Data Augmentation in Bayesian Neural Networks" | [Home Page] | [PDF]

• Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas. "ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD" | [Home Page] | [PDF]

• Heesun Bae, Seungjae Shin, Byeonghu Na, Joonho Jang, Kyungwoo Song, Il-Chul Moon. "From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model" | [Home Page] | [PDF]

• Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli. "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" | [Home Page] | [PDF]

• Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman. "End-to-End Balancing for Causal Continuous Treatment-Effect Estimation" | [Home Page] | [PDF]

• Lu Bai, Lixin Cui, Hancock Edwin. "A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs" | [Home Page] | [PDF]

• Yu Bai, Chi Jin, Song Mei, Tiancheng Yu. "Near-Optimal Learning of Extensive-Form Games with Imperfect Information" | [Home Page] | [PDF]

• Junwen Bai, Shufeng Kong, Carla P Gomes. "Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification" | [Home Page] | [PDF]

• He Bai, Renjie Zheng, Junkun Chen, Mingbo Ma, Xintong Li, Liang Huang. "A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing" | [Home Page] | [PDF]

• Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou. "Stability Based Generalization Bounds for Exponential Family Langevin Dynamics" | [Home Page] | [PDF]

• Arpit Bansal, Ping-Yeh Chiang, Michael J Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P Dickerson, Tom Goldstein. "Certified Neural Network Watermarks with Randomized Smoothing" | [Home Page] | [PDF]

• Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat. "Data Scaling Laws in NMT: The Effect of Noise and Architecture" | [Home Page] | [PDF]

• Yujia Bao, Shiyu Chang, Dr.Regina Barzilay. "Learning Stable Classifiers by Transferring Unstable Features" | [Home Page] | [PDF]

• Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu. "Fast Composite Optimization and Statistical Recovery in Federated Learning" | [Home Page] | [PDF]

• Zhipeng Bao, Martial Hebert, Yu-Xiong Wang. "Generative Modeling for Multi-task Visual Learning" | [Home Page] | [PDF]

• Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang. "Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models" | [Home Page] | [PDF]

• Han Bao, Yoshihiro Nagano, Kento Nozawa. "On the Surrogate Gap between Contrastive and Supervised Losses" | [Home Page] | [PDF]

• Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev. "Representation Topology Divergence: A Method for Comparing Neural Network Representations." | [Home Page] | [PDF]

• Adarsh Barik, Jean Honorio. "Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation" | [Home Page] | [PDF]

• Burak Bartan, Mert Pilanci. "Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time" | [Home Page] | [PDF]

• Lucas Baudin, Rida Laraki. "Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games" | [Home Page] | [PDF]

• Yahav Bechavod, Chara Podimata, Steven Wu, Juba Ziani. "Information Discrepancy in Strategic Learning" | [Home Page] | [PDF]

• Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M Sadler, Pratap Tokekar, Alec Koppel. "On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces" | [Home Page] | [PDF]

• Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani. "Imitation Learning by Estimating Expertise of Demonstrators" | [Home Page] | [PDF]

• Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximillian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman. "Matching Normalizing Flows and Probability Paths on Manifolds" | [Home Page] | [PDF]

• Viktor Bengs, Aadirupa Saha, Eyke Hüllermeier. "Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models" | [Home Page] | [PDF]

• Raphael Bensadoun, Shir Gur, Nitsan Blau, Lior Wolf. "Neural Inverse Kinematic" | [Home Page] | [PDF]

• Gregory Benton, Wesley Maddox, Andrew Gordon Wilson. "Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes" | [Home Page] | [PDF]

• Frederik Benzing. "Gradient Descent on Neurons and its Link to Approximate Second-order Optimization" | [Home Page] | [PDF]

• Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò. "Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints" | [Home Page] | [PDF]

• Peter Bevan, Amir Atapour-Abarghouei. "Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification" | [Home Page] | [PDF]

• Ayush Bharti, Louis Filstroff, Samuel Kaski. "Approximate Bayesian Computation with Domain Expert in the Loop" | [Home Page] | [PDF]

• Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky. "Minimax M-estimation under Adversarial Contamination" | [Home Page] | [PDF]

• Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky. "Nearly Optimal Catoni’s M-estimator for Infinite Variance" | [Home Page] | [PDF]

• Alberto Bietti, Chen-Yu Wei, Miroslav Dudik, John Langford, Steven Wu. "Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning" | [Home Page] | [PDF]

• Felix Biggs, Benjamin Guedj. "Non-Vacuous Generalisation Bounds for Shallow Neural Networks" | [Home Page] | [PDF]

• Jeremiah Birrell, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu. "Structure-preserving GANs" | [Home Page] | [PDF]

• Niloy Biswas, Lester Mackey, Xiao-Li Meng. "Scalable Spike-and-Slab" | [Home Page] | [PDF]

• Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein. "Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities" | [Home Page] | [PDF]

• Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan. "A query-optimal algorithm for finding counterfactuals" | [Home Page] | [PDF]

• Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan. "Popular decision tree algorithms are provably noise tolerant" | [Home Page] | [PDF]

• Tom Blau, Edwin V. Bonilla, Iadine Chades, Amir Dezfouli. "Optimizing Sequential Experimental Design with Deep Reinforcement Learning" | [Home Page] | [PDF]

• Huang Bojun. "Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)" | [Home Page] | [PDF]

• Heejong Bong, Alessandro Rinaldo. "Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model" | [Home Page] | [PDF]

• Akhilan Boopathy, Ila Fiete. "How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective" | [Home Page] | [PDF]

• Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego De Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack Rae, Erich Elsen, Laurent Sifre. "Improving Language Models by Retrieving from Trillions of Tokens" | [Home Page] | [PDF]

• Johannes Brandstetter, Max Welling, Daniel E Worrall. "Lie Point Symmetry Data Augmentation for Neural PDE Solvers" | [Home Page] | [PDF]

• Guillaume Braun, Hemant Tyagi, Christophe Biernacki. "An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees" | [Home Page] | [PDF]

• Manuel Brenner, Florian Hess, Jonas M Mikhaeil, Leonard F Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz. "Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems" | [Home Page] | [PDF]

• Luc Brogat-Motte, Rémi Flamary, Celine Brouard, Juho Rousu, Florence D’Alché-Buc. "Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters" | [Home Page] | [PDF]

• Alon Brutzkus, Amir Globerson, Eran Malach, Alon Regev Netser, Shai Shalev-Schwartz. "Efficient Learning of CNNs using Patch Based Features" | [Home Page] | [PDF]

• Kailash Budhathoki, Lenon Minorics, Patrick Bloebaum, Dominik Janzing. "Causal structure-based root cause analysis of outliers" | [Home Page] | [PDF]

• Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulić. "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages" | [Home Page] | [PDF]

• Thomas Kleine Büning, Anne-Marie George, Christos Dimitrakakis. "Interactive Inverse Reinforcement Learning for Cooperative Games" | [Home Page] | [PDF]

• Rebekka Burkholz. "Convolutional and Residual Networks Provably Contain Lottery Tickets" | [Home Page] | [PDF]

• Haoyuan Cai, Tengyu Ma, Simon Du. "Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path" | [Home Page] | [PDF]

• Chen Cai, Yusu Wang. "Convergence of Invariant Graph Networks" | [Home Page] | [PDF]

• Qi Cai, Zhuoran Yang, Zhaoran Wang. "Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency" | [Home Page] | [PDF]

• Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco. "Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times" | [Home Page] | [PDF]

• Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause. "Adaptive Gaussian Process Change Point Detection" | [Home Page] | [PDF]

• Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. "Measuring dissimilarity with diffeomorphism invariance" | [Home Page] | [PDF]

• Yiting Cao, Chao Lan. "A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling" | [Home Page] | [PDF]

• Alexandre Capone, Armin Lederer, Sandra Hirche. "Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications" | [Home Page] | [PDF]

• Cristiano Capone, Cosimo Lupo, Paolo Muratore, Pier Stanislao Paolucci. "Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning" | [Home Page] | [PDF]

• Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti. "A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving" | [Home Page] | [PDF]

• Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford. "RECAPP: Crafting a More Efficient Catalyst for Convex Optimization" | [Home Page] | [PDF]

• Micah D Carroll, Anca Dragan, Stuart Russell, Dylan Hadfield-Menell. "Estimating and Penalizing Induced Preference Shifts in Recommender Systems" | [Home Page] | [PDF]

• Edresson Casanova, Julian Weber, Christopher D Shulby, Arnaldo Candido Junior, Eren Gölge, Moacir A Ponti. "YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone" | [Home Page] | [PDF]

• Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli. "The Infinite Contextual Graph Markov Model" | [Home Page] | [PDF]

• Timothy J Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson. "Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data" | [Home Page] | [PDF]

• Matteo Castiglioni, Andrea Celli, Christian Kroer. "Online Learning with Knapsacks: the Best of Both Worlds" | [Home Page] | [PDF]

• Edoardo Cetin, Philip J Ball, Stephen Roberts, Oya Celiktutan. "Stabilizing Off-Policy Deep Reinforcement Learning from Pixels" | [Home Page] | [PDF]

• Karan Chadha, Gary Cheng, John Duchi. "Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization" | [Home Page] | [PDF]

• Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung. "Robust Imitation Learning against Variations in Environment Dynamics" | [Home Page] | [PDF]

• Junyi Chai, Xiaoqian Wang. "Fairness with Adaptive Weights" | [Home Page] | [PDF]

• Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz. "UNIREX: A Unified Learning Framework for Language Model Rationale Extraction" | [Home Page] | [PDF]

• Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung. "Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?" | [Home Page] | [PDF]

• Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel. "Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models" | [Home Page] | [PDF]

• Jonathan Chang, Kaiwen Wang, Nathan Kallus, Wen Sun. "Learning Bellman Complete Representations for Offline Policy Evaluation" | [Home Page] | [PDF]

• Mohammad-Amin Charusaie, Hussein Mozannar, David Sontag, Samira Samadi. "Sample Efficient Learning of Predictors that Complement Humans" | [Home Page] | [PDF]

• Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi. "Nyström Kernel Mean Embeddings" | [Home Page] | [PDF]

• Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang. "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" | [Home Page] | [PDF]

• Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu. "Learning Domain Adaptive Object Detection with Probabilistic Teacher" | [Home Page] | [PDF]

• Wei-Ning Chen, Christopher A Choquette Choo, Peter Kairouz, Ananda Theertha Suresh. "The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning" | [Home Page] | [PDF]

• Mayee Chen, Daniel Y Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Re. "Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning" | [Home Page] | [PDF]

• Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama. "Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk" | [Home Page] | [PDF]

• Yuanzhou Chen, Jiafan He, Quanquan Gu. "On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs" | [Home Page] | [PDF]

• Justin Chen, Piotr Indyk, Tal Wagner. "Streaming Algorithms for Support-Aware Histograms" | [Home Page] | [PDF]

• Liyu Chen, Rahul Jain, Haipeng Luo. "Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP" | [Home Page] | [PDF]

• Liyu Chen, Rahul Jain, Haipeng Luo. "Learning Infinite-horizon Average-reward Markov Decision Process with Constraints" | [Home Page] | [PDF]

• Yifang Chen, Kevin Jamieson, Simon Du. "Active Multi-Task Representation Learning" | [Home Page] | [PDF]

• Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu. "On Collective Robustness of Bagging Against Data Poisoning" | [Home Page] | [PDF]

• Cheng Chen, Yi Li, Yiming Sun. "Online Active Regression" | [Home Page] | [PDF]

• Junjie Chen, Minming Li, Haifeng Xu. "Selling Data To a Machine Learner: Pricing via Costly Signaling" | [Home Page] | [PDF]

• Jintai Chen, Kuanlun Liao, Kun Wei, Haochao Ying, Danny Z Chen, Jian Wu. "ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases" | [Home Page] | [PDF]

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• Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamas Sarlos, Adrian Weller, Thomas Weingarten. "From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers" | [Home Page] | [PDF]

• Sayak Ray Chowdhury, Xingyu Zhou. "Shuffle Private Linear Contextual Bandits" | [Home Page] | [PDF]

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• Aidan Clark, Diego De Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake Hechtman, Trevor Cai, Sebastian Borgeaud, George Bm Van Den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc’Aurelio Ranzato, Jack Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan. "Unified Scaling Laws for Routed Language Models" | [Home Page] | [PDF]

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• Vincent Cohen-Addad, Vahab Mirrokni, Peilin Zhong. "Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances" | [Home Page] | [PDF]

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• Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu. "Dialog Inpainting: Turning Documents into Dialogs" | [Home Page] | [PDF]

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• Tal Daniel, Aviv Tamar. "Unsupervised Image Representation Learning with Deep Latent Particles" | [Home Page] | [PDF]

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• Zhijie Deng, Jiaxin Shi, Jun Zhu. "NeuralEF: Deconstructing Kernels by Deep Neural Networks" | [Home Page] | [PDF]

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• Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou. "Variational Feature Pyramid Networks" | [Home Page] | [PDF]

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• Dimitris Fotakis, Alkis Kalavasis, Eleni Psaroudaki. "Label Ranking through Nonparametric Regression" | [Home Page] | [PDF]

• Jean-Yves Franceschi, Emmanuel De Bézenac, Ibrahim Ayed, Mickael Chen, Sylvain Lamprier, Patrick Gallinari. "A Neural Tangent Kernel Perspective of GANs" | [Home Page] | [PDF]

• Abraham Frandsen, Rong Ge, Holden Lee. "Extracting Latent State Representations with Linear Dynamics from Rich Observations" | [Home Page] | [PDF]

• Elias Frantar, Dan Alistarh. "SPDY: Accurate Pruning with Speedup Guarantees" | [Home Page] | [PDF]

• Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi. "Revisiting the Effects of Stochasticity for Hamiltonian Samplers" | [Home Page] | [PDF]

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• Simon Frieder, Thomas Lukasiewicz. "(Non-)Convergence Results for Predictive Coding Networks" | [Home Page] | [PDF]

• Yao Fu, John Cunningham, Mirella Lapata. "Scaling Structured Inference with Randomization" | [Home Page] | [PDF]

• Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang. "Greedy when Sure and Conservative when Uncertain about the Opponents" | [Home Page] | [PDF]

• Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin. "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks" | [Home Page] | [PDF]

• Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu. "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Guoji Fu, Peilin Zhao, Yatao Bian. "$p$-Laplacian Based Graph Neural Networks" | [Home Page] | [PDF]

• Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu. "Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error" | [Home Page] | [PDF]

• Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro. "Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data" | [Home Page] | [PDF]

• Robert Ganian, Thekla Hamm, Viktoriia Korchemna, Karolina Okrasa, Kirill Simonov. "The Complexity of k-Means Clustering when Little is Known" | [Home Page] | [PDF]

• Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu. "IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data" | [Home Page] | [PDF]

• Boyan Gao, Henry Gouk, Yongxin Yang, Timothy Hospedales. "Loss Function Learning for Domain Generalization by Implicit Gradient" | [Home Page] | [PDF]

• Hongchang Gao, Junyi Li, Heng Huang. "On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum" | [Home Page] | [PDF]

• Yansong Gao, Rahul Ramesh, Pratik Chaudhari. "Deep Reference Priors: What is the best way to pretrain a model?" | [Home Page] | [PDF]

• Jianfei Gao, Bruno Ribeiro. "On the Equivalence Between Temporal and Static Equivariant Graph Representations" | [Home Page] | [PDF]

• Katelyn Gao, Ozan Sener. "Generalizing Gaussian Smoothing for Random Search" | [Home Page] | [PDF]

• Yue Gao, Ilia Shumailov, Kassem Fawaz. "Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems" | [Home Page] | [PDF]

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• Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng. "Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack" | [Home Page] | [PDF]

• Lucy L Gao, Jane Ye, Haian Yin, Shangzhi Zeng, Jin Zhang. "Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems" | [Home Page] | [PDF]

• Xiang Gao, Yuqi Zhang, Yingjie Tian. "Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization" | [Home Page] | [PDF]

• Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon. "Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification" | [Home Page] | [PDF]

• Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler Summers, John Lygeros. "PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation" | [Home Page] | [PDF]

• Alexander Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takac, Pavel Dvurechensky, Bin Gu. "The power of first-order smooth optimization for black-box non-smooth problems" | [Home Page] | [PDF]

• Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan. "A Functional Information Perspective on Model Interpretation" | [Home Page] | [PDF]

• Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont. "UniRank: Unimodal Bandit Algorithms for Online Ranking" | [Home Page] | [PDF]

• Tomas Geffner, Justin Domke. "Variational Inference with Locally Enhanced Bounds for Hierarchical Models" | [Home Page] | [PDF]

• Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah Goodman, Christopher Potts. "Inducing Causal Structure for Interpretable Neural Networks" | [Home Page] | [PDF]

• Claudio Gentile, Zhilei Wang, Tong Zhang. "Achieving Minimax Rates in Pool-Based Batch Active Learning" | [Home Page] | [PDF]

• Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März. "Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning" | [Home Page] | [PDF]

• Evangelia Gergatsouli, Christos Tzamos. "Online Learning for Min Sum Set Cover and Pandora’s Box" | [Home Page] | [PDF]

• Jan Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson. "Equivariance versus Augmentation for Spherical Images" | [Home Page] | [PDF]

• Udaya Ghai, Udari Madhushani, Naomi Leonard, Elad Hazan. "A Regret Minimization Approach to Multi-Agent Control" | [Home Page] | [PDF]

• Seyed Kamyar Seyed Ghasemipour, Satoshi Kataoka, Byron David, Daniel Freeman, Shixiang Shane Gu, Igor Mordatch. "Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning" | [Home Page] | [PDF]

• Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi. "Faster Privacy Accounting via Evolving Discretization" | [Home Page] | [PDF]

• Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein. "Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations" | [Home Page] | [PDF]

• Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine. "Offline RL Policies Should Be Trained to be Adaptive" | [Home Page] | [PDF]

• Avishek Ghosh, Abishek Sankararaman. "Breaking the $\sqrtT$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits" | [Home Page] | [PDF]

• Giorgio Giannone, Ole Winther. "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" | [Home Page] | [PDF]

• Jennifer Gillenwater, Matthew Joseph, Andres Munoz, Monica Ribero Diaz. "A Joint Exponential Mechanism For Differentially Private Top-$k$" | [Home Page] | [PDF]

• Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao. "Neuro-Symbolic Hierarchical Rule Induction" | [Home Page] | [PDF]

• Karan Goel, Albert Gu, Chris Donahue, Christopher Re. "It’s Raw! Audio Generation with State-Space Models" | [Home Page] | [PDF]

• Yu Gong, Greg Mori, Fred Tung. "RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression" | [Home Page] | [PDF]

• Chengyue Gong, Lemeng Wu, Qiang Liu. "How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity" | [Home Page] | [PDF]

• Xiuwen Gong, Dong Yuan, Wei Bao. "Partial Label Learning via Label Influence Function" | [Home Page] | [PDF]

• Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin. "Secure Distributed Training at Scale" | [Home Page] | [PDF]

• Anirudh Goyal, Abram Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Peter C Humphreys, Ksenia Konyushova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell. "Retrieval-Augmented Reinforcement Learning" | [Home Page] | [PDF]

• Laura Graesser, Utku Evci, Erich Elsen, Pablo Samuel Castro. "The State of Sparse Training in Deep Reinforcement Learning" | [Home Page] | [PDF]

• Luigi Gresele, Julius Von Kügelgen, Jonas Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing. "Causal Inference Through the Structural Causal Marginal Problem" | [Home Page] | [PDF]

• Jakub Grudzien, Christian A Schroeder De Witt, Jakob Foerster. "Mirror Learning: A Unifying Framework of Policy Optimisation" | [Home Page] | [PDF]

• Christoph Grunau, Václav Rozhoň. "Adapting k-means Algorithms for Outliers" | [Home Page] | [PDF]

• Yichen Gu, David T Blaauw, Joshua Welch. "Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics" | [Home Page] | [PDF]

• Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An. "Learning Pseudometric-based Action Representations for Offline Reinforcement Learning" | [Home Page] | [PDF]

• Shanyan Guan, Huayu Deng, Yunbo Wang, Xiaokang Yang. "NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields" | [Home Page] | [PDF]

• Jiechao Guan, Zhiwu Lu. "Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning" | [Home Page] | [PDF]

• Lin Guan, Sarath Sreedharan, Subbarao Kambhampati. "Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity" | [Home Page] | [PDF]

• Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu. "Large-Scale Graph Neural Architecture Search" | [Home Page] | [PDF]

• Ishaan Gulrajani, Tatsunori Hashimoto. "Identifiability Conditions for Domain Adaptation" | [Home Page] | [PDF]

• Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans. "A Parametric Class of Approximate Gradient Updates for Policy Optimization" | [Home Page] | [PDF]

• Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang. "Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes" | [Home Page] | [PDF]

• Wenshuo Guo, Michael Jordan, Ellen Vitercik. "No-Regret Learning in Partially-Informed Auctions" | [Home Page] | [PDF]

• Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten. "Bounding Training Data Reconstruction in Private (Deep) Learning" | [Home Page] | [PDF]

• Chong Guo, Michael Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James Dicarlo. "Adversarially trained neural representations are already as robust as biological neural representations" | [Home Page] | [PDF]

• Lan-Zhe Guo, Yu-Feng Li. "Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding" | [Home Page] | [PDF]

• Alan J.X. Guo, Cong Liang, Qing-Hu Hou. "Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage" | [Home Page] | [PDF]

• Yiduo Guo, Bing Liu, Dongyan Zhao. "Online Continual Learning through Mutual Information Maximization" | [Home Page] | [PDF]

• Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou. "Fast Provably Robust Decision Trees and Boosting" | [Home Page] | [PDF]

• Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen. "Understanding and Improving Knowledge Graph Embedding for Entity Alignment" | [Home Page] | [PDF]

• Mustafa B Gurbuz, Constantine Dovrolis. "NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks" | [Home Page] | [PDF]

• Guy Hacohen, Avihu Dekel, Daphna Weinshall. "Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets" | [Home Page] | [PDF]

• Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian Reid, Lars Petersson, Hongdong Li. "You Only Cut Once: Boosting Data Augmentation with a Single Cut" | [Home Page] | [PDF]

• Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi. "Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes" | [Home Page] | [PDF]

• Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu. "G-Mixup: Graph Data Augmentation for Graph Classification" | [Home Page] | [PDF]

• Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang. "Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making" | [Home Page] | [PDF]

• Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng. "Off-Policy Reinforcement Learning with Delayed Rewards" | [Home Page] | [PDF]

• Eric Han, Jonathan Scarlett. "Adversarial Attacks on Gaussian Process Bandits" | [Home Page] | [PDF]

• Insu Han, Amir Zandieh, Haim Avron. "Random Gegenbauer Features for Scalable Kernel Methods" | [Home Page] | [PDF]

• Ayoub El Hanchi, David Stephens, Chris Maddison. "Stochastic Reweighted Gradient Descent" | [Home Page] | [PDF]

• Jun-Yi Hang, Min-Ling Zhang. "Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification" | [Home Page] | [PDF]

• Nicklas A Hansen, Hao Su, Xiaolong Wang. "Temporal Difference Learning for Model Predictive Control" | [Home Page] | [PDF]

• Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine. "Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning" | [Home Page] | [PDF]

• Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar. "TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm" | [Home Page] | [PDF]

• Botao Hao, Tor Lattimore, Chao Qin. "Contextual Information-Directed Sampling" | [Home Page] | [PDF]

• Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu. "GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing" | [Home Page] | [PDF]

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• Yuka Hashimoto, Zhao Wang, Tomoko Matsui. "C-algebra Net: A New Approach Generalizing Neural Network Parameters to C-algebra"** | [Home Page] | [PDF]

• Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joao Carreira, Jesse Engel. "General-purpose, long-context autoregressive modeling with Perceiver AR" | [Home Page] | [PDF]

• Jingxuan He, Luca Beurer-Kellner, Martin Vechev. "On Distribution Shift in Learning-based Bug Detectors" | [Home Page] | [PDF]

• Yixuan He, Quan Gan, David Wipf, Gesine D Reinert, Junchi Yan, Mihai Cucuringu. "GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks" | [Home Page] | [PDF]

• Bobby He, Mete Ozay. "Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning" | [Home Page] | [PDF]

• Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin. "Sparse Double Descent: Where Network Pruning Aggravates Overfitting" | [Home Page] | [PDF]

• Jiahao He, Jiheng Zhang, Rachel Q. Zhang. "A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds" | [Home Page] | [PDF]

• Yun He, Steven Zheng, Yi Tay, Jai Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, Yaguang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi. "HyperPrompt: Prompt-based Task-Conditioning of Transformers" | [Home Page] | [PDF]

• Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken. "Label-Descriptive Patterns and Their Application to Characterizing Classification Errors" | [Home Page] | [PDF]

• Jakob M Heiss, Jakob Weissteiner, Hanna S Wutte, Sven Seuken, Josef Teichmann. "NOMU: Neural Optimization-based Model Uncertainty" | [Home Page] | [PDF]

• Dan Hendrycks, Steven Basart, Mantas Mazeika, Andy Zou, Joseph Kwon, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song. "Scaling Out-of-Distribution Detection for Real-World Settings" | [Home Page] | [PDF]

• Liam Hodgkinson, Umut Simsekli, Rajiv Khanna, Michael Mahoney. "Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers" | [Home Page] | [PDF]

• Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze. "Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology" | [Home Page] | [PDF]

• Samuel I Holt, Zhaozhi Qian, Mihaela van der Schaar. "Neural Laplace: Learning diverse classes of differential equations in the Laplace domain" | [Home Page] | [PDF]

• Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh. "Deep Hierarchy in Bandits" | [Home Page] | [PDF]

• Robert Hönig, Yiren Zhao, Robert Mullins. "DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning" | [Home Page] | [PDF]

• Emiel Hoogeboom, Vı́ctor Garcia Satorras, Clément Vignac, Max Welling. "Equivariant Diffusion for Molecule Generation in 3D" | [Home Page] | [PDF]

• Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng. "Conditional GANs with Auxiliary Discriminative Classifier" | [Home Page] | [PDF]

• Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang. "AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems" | [Home Page] | [PDF]

• Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein. "Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling" | [Home Page] | [PDF]

• Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives. "Learning inverse folding from millions of predicted structures" | [Home Page] | [PDF]

• Pihe Hu, Yu Chen, Longbo Huang. "Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation" | [Home Page] | [PDF]

• Yaojie Hu, Jin Tian. "Neuron Dependency Graphs: A Causal Abstraction of Neural Networks" | [Home Page] | [PDF]

• Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang. "Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL" | [Home Page] | [PDF]

• Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang. "On the Role of Discount Factor in Offline Reinforcement Learning" | [Home Page] | [PDF]

• Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc Le. "Transformer Quality in Linear Time" | [Home Page] | [PDF]

• Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch. "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents" | [Home Page] | [PDF]

• Zhichun Huang, Rudrasis Chakraborty, Vikas Singh. "Forward Operator Estimation in Generative Models with Kernel Transfer Operators" | [Home Page] | [PDF]

• Jiatai Huang, Yan Dai, Longbo Huang. "Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits" | [Home Page] | [PDF]

• Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei. "Frustratingly Easy Transferability Estimation" | [Home Page] | [PDF]

• Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang. "Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)" | [Home Page] | [PDF]

• Biwei Huang, Chaochao Lu, Liu Leqi, Jose Miguel Hernandez-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang. "Action-Sufficient State Representation Learning for Control with Structural Constraints" | [Home Page] | [PDF]

• Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang. "3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design" | [Home Page] | [PDF]

• Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Hu Xianghong, Jeffry Wicaksana, Eric Xing, Kwang-Ting Cheng. "SDQ: Stochastic Differentiable Quantization with Mixed Precision" | [Home Page] | [PDF]

• Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu. "Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology" | [Home Page] | [PDF]

• Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M Susskind. "Efficient Representation Learning via Adaptive Context Pooling" | [Home Page] | [PDF]

• Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang. "On the Learning of Non-Autoregressive Transformers" | [Home Page] | [PDF]

• Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He. "Going Deeper into Permutation-Sensitive Graph Neural Networks" | [Home Page] | [PDF]

• Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang. "Directed Acyclic Transformer for Non-Autoregressive Machine Translation" | [Home Page] | [PDF]

• Geert-Jan Huizing, Laura Cantini, Gabriel Peyré. "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors" | [Home Page] | [PDF]

• Pierre Humbert, Batiste Le Bars, Ludovic Minvielle. "Robust Kernel Density Estimation with Median-of-Means principle" | [Home Page] | [PDF]

• Peter C Humphreys, David Raposo, Tobias Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Adam Santoro, Timothy Lillicrap. "A data-driven approach for learning to control computers" | [Home Page] | [PDF]

• Samuel Hurault, Arthur Leclaire, Nicolas Papadakis. "Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization" | [Home Page] | [PDF]

• Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar. "Inverse Contextual Bandits: Learning How Behavior Evolves over Time" | [Home Page] | [PDF]

• Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry. "Datamodels: Understanding Predictions with Data and Data with Predictions" | [Home Page] | [PDF]

• Sungjin Im, Ravi Kumar, Aditya Petety, Manish Purohit. "Parsimonious Learning-Augmented Caching" | [Home Page] | [PDF]

• Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi. "Bayesian Optimization for Distributionally Robust Chance-constrained Problem" | [Home Page] | [PDF]

• David Ireland, Giovanni Montana. "LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation" | [Home Page] | [PDF]

• Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber. "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention" | [Home Page] | [PDF]

• Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber. "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" | [Home Page] | [PDF]

• Shinji Ito. "Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness" | [Home Page] | [PDF]

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• Brandon G Jacques, Zoran Tiganj, Aakash Sarkar, Marc Howard, Per Sederberg. "A deep convolutional neural network that is invariant to time rescaling" | [Home Page] | [PDF]

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• Saachi Jain, Dimitris Tsipras, Aleksander Madry. "Combining Diverse Feature Priors" | [Home Page] | [PDF]

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• Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani. "Sequential Covariate Shift Detection Using Classifier Two-Sample Tests" | [Home Page] | [PDF]

• Martin Jankowiak, Du Phan. "Surrogate Likelihoods for Variational Annealed Importance Sampling" | [Home Page] | [PDF]

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• Yohan Jung, Kyungwoo Song, Jinkyoo Park. "Efficient Approximate Inference for Stationary Kernel on Frequency Domain" | [Home Page] | [PDF]

• Praneeth Kacham, David Woodruff. "Sketching Algorithms and Lower Bounds for Ridge Regression" | [Home Page] | [PDF]

• Jacob D Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert. "Flashlight: Enabling Innovation in Tools for Machine Learning" | [Home Page] | [PDF]

• Jan Kaiser, Oliver Stein, Annika Eichler. "Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training" | [Home Page] | [PDF]

• Konstantinos Kalais, Sotirios Chatzis. "Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning" | [Home Page] | [PDF]

• Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou. "Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning" | [Home Page] | [PDF]

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• Hidetaka Kamigaito, Katsuhiko Hayashi. "Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning" | [Home Page] | [PDF]

• Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian, Amit Sharma. "Matching Learned Causal Effects of Neural Networks with Domain Priors" | [Home Page] | [PDF]

• Nikhil Kandpal, Eric Wallace, Colin Raffel. "Deduplicating Training Data Mitigates Privacy Risks in Language Models" | [Home Page] | [PDF]

• Katie Kang, Paula Gradu, Jason J Choi, Michael Janner, Claire Tomlin, Sergey Levine. "Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control" | [Home Page] | [PDF]

• Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo. "Forget-free Continual Learning with Winning Subnetworks" | [Home Page] | [PDF]

• Haim Kaplan, Shachar Schnapp, Uri Stemmer. "Differentially Private Approximate Quantiles" | [Home Page] | [PDF]

• Abdullah Karaaslanli, Selin Aviyente. "Simultaneous Graph Signal Clustering and Graph Learning" | [Home Page] | [PDF]

• Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz. "Composing Partial Differential Equations with Physics-Aware Neural Networks" | [Home Page] | [PDF]

• Parnian Kassraie, Jonas Rothfuss, Andreas Krause. "Meta-Learning Hypothesis Spaces for Sequential Decision-making" | [Home Page] | [PDF]

• Priyatham Kattakinda, Soheil Feizi. "FOCUS: Familiar Objects in Common and Uncommon Settings" | [Home Page] | [PDF]

• Julian Katz-Samuels, Julia B Nakhleh, Robert Nowak, Yixuan Li. "Training OOD Detectors in their Natural Habitats" | [Home Page] | [PDF]

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• Marcel Keller, Ke Sun. "Secure Quantized Training for Deep Learning" | [Home Page] | [PDF]

• Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi. "A Convergent and Dimension-Independent Min-Max Optimization Algorithm" | [Home Page] | [PDF]

• Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli. "Neural Network Poisson Models for Behavioural and Neural Spike Train Data" | [Home Page] | [PDF]

• Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri. "Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling" | [Home Page] | [PDF]

• Jinkyu Kim, Geeho Kim, Bohyung Han. "Multi-Level Branched Regularization for Federated Learning" | [Home Page] | [PDF]

• Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim. "Learning fair representation with a parametric integral probability metric" | [Home Page] | [PDF]

• Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song. "Dataset Condensation via Efficient Synthetic-Data Parameterization" | [Home Page] | [PDF]

• Heeseung Kim, Sungwon Kim, Sungroh Yoon. "Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance" | [Home Page] | [PDF]

• Jangho Kim, Jun-Tae Lee, Simyung Chang, Nojun Kwak. "Variational On-the-Fly Personalization" | [Home Page] | [PDF]

• Minyoung Kim, Da Li, Shell X Hu, Timothy Hospedales. "Fisher SAM: Information Geometry and Sharpness Aware Minimisation" | [Home Page] | [PDF]

• Sangwon Kim, Jaeyeal Nam, Byoung Chul Ko. "ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder" | [Home Page] | [PDF]

• Joon Sik Kim, Gregory Plumb, Ameet Talwalkar. "Sanity Simulations for Saliency Methods" | [Home Page] | [PDF]

• Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon. "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation" | [Home Page] | [PDF]

• Jung-Hun Kim, Milan Vojnovic, Se-Young Yun. "Rotting Infinitely Many-Armed Bandits" | [Home Page] | [PDF]

• Jungbin Kim, Insoon Yang. "Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis" | [Home Page] | [PDF]

• Matthieu Kirchmeyer, Yuan Yin, Jeremie Dona, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari. "Generalizing to New Physical Systems via Context-Informed Dynamics Model" | [Home Page] | [PDF]

• Dani Kiyasseh, Tingting Zhu, David A Clifton. "SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals" | [Home Page] | [PDF]

• Pascal Klink, Haoyi Yang, Carlo D’Eramo, Jan Peters, Joni Pajarinen. "Curriculum Reinforcement Learning via Constrained Optimal Transport" | [Home Page] | [PDF]

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• Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng. "Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework" | [Home Page] | [PDF]

• Refael Kohen, Or Sheffet. "Transfer Learning In Differential Privacy’s Hybrid-Model" | [Home Page] | [PDF]

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• Fang Kong, Yichi Zhou, Shuai Li. "Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback" | [Home Page] | [PDF]

• Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer. "Adaptive Data Analysis with Correlated Observations" | [Home Page] | [PDF]

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• Vladislav Kurenkov, Sergey Kolesnikov. "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters" | [Home Page] | [PDF]

• Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli, Arash Behboodi. "Equivariant Priors for compressed sensing with unknown orientation" | [Home Page] | [PDF]

• Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor. "Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms" | [Home Page] | [PDF]

• Thibault Lahire, Matthieu Geist, Emmanuel Rachelson. "Large Batch Experience Replay" | [Home Page] | [PDF]

• Fan Lai, Yinwei Dai, Sanjay Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha Madhyastha, Mosharaf Chowdhury. "FedScale: Benchmarking Model and System Performance of Federated Learning at Scale" | [Home Page] | [PDF]

• Zhengfeng Lai, Chao Wang, Henrry Gunawan, Sen-Ching S Cheung, Chen-Nee Chuah. "Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data" | [Home Page] | [PDF]

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• Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski. "Generative Cooperative Networks for Natural Language Generation" | [Home Page] | [PDF]

• Shiyong Lan, Yitong Ma, Weikang Huang, Wenwu Wang, Hongyu Yang, Pyang Li. "DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting" | [Home Page] | [PDF]

• Tal Lancewicki, Aviv Rosenberg, Yishay Mansour. "Cooperative Online Learning in Stochastic and Adversarial MDPs" | [Home Page] | [PDF]

• Zoe Landgraf, Alexander Sorkine Hornung, Ricardo S Cabral. "PINs: Progressive Implicit Networks for Multi-Scale Neural Representations" | [Home Page] | [PDF]

• Hunter Lang, Monica N Agrawal, Yoon Kim, David Sontag. "Co-training Improves Prompt-based Learning for Large Language Models" | [Home Page] | [PDF]

• Lauro Langosco Di Langosco, Jack Koch, Lee D Sharkey, Jacob Pfau, David Krueger. "Goal Misgeneralization in Deep Reinforcement Learning" | [Home Page] | [PDF]

• Mike Laszkiewicz, Johannes Lederer, Asja Fischer. "Marginal Tail-Adaptive Normalizing Flows" | [Home Page] | [PDF]

• Tim Tsz-Kit Lau, Han Liu. "Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes" | [Home Page] | [PDF]

• Mathieu Lauriere, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Perolat, Romuald Elie, Olivier Pietquin, Matthieu Geist. "Scalable Deep Reinforcement Learning Algorithms for Mean Field Games" | [Home Page] | [PDF]

• Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak T. Kiani. "Implicit Bias of Linear Equivariant Networks" | [Home Page] | [PDF]

• John Lazarsfeld, Aaron Johnson, Emmanuel Adeniran. "Differentially Private Maximal Information Coefficients" | [Home Page] | [PDF]

• Khang Le, Dung Q Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho. "Entropic Gromov-Wasserstein between Gaussian Distributions" | [Home Page] | [PDF]

• Hung Le, Svetha Venkatesh. "Neurocoder: General-Purpose Computation Using Stored Neural Programs" | [Home Page] | [PDF]

• James-Michael Leahy, Bekzhan Kerimkulov, David Siska, Lukasz Szpruch. "Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime" | [Home Page] | [PDF]

• Hugo Lebeau, Romain Couillet, Florent Chatelain. "A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources" | [Home Page] | [PDF]

• Jongmin Lee, Joo Young Choi, Ernest K Ryu, Albert No. "Neural Tangent Kernel Analysis of Deep Narrow Neural Networks" | [Home Page] | [PDF]

• Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon. "Dataset Condensation with Contrastive Signals" | [Home Page] | [PDF]

• Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon. "Confidence Score for Source-Free Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Yonghyeon Lee, Seungyeon Kim, Jinwon Choi, Frank Park. "A Statistical Manifold Framework for Point Cloud Data" | [Home Page] | [PDF]

• Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, Woosuk Choi. "Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions" | [Home Page] | [PDF]

• Yoonhyung Lee, Sungdong Lee, Joong-Ho Won. "Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert" | [Home Page] | [PDF]

• Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, Andrew Saxe. "Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation" | [Home Page] | [PDF]

• Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song. "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" | [Home Page] | [PDF]

• Sokbae Lee, Serena Ng. "Least Squares Estimation using Sketched Data with Heteroskedastic Errors" | [Home Page] | [PDF]

• Changwoo J Lee, Huiyan Sang. "Why the Rich Get Richer? On the Balancedness of Random Partition Models" | [Home Page] | [PDF]

• Jonathan Lee, George Tucker, Ofir Nachum, Bo Dai. "Model Selection in Batch Policy Optimization" | [Home Page] | [PDF]

• Liu Leqi, Audrey Huang, Zachary Lipton, Kamyar Azizzadenesheli. "Supervised Learning with General Risk Functionals" | [Home Page] | [PDF]

• Sagi Levanon, Nir Rosenfeld. "Generalized Strategic Classification and the Case of Aligned Incentives" | [Home Page] | [PDF]

• Wenjie Li, Adarsh Barik, Jean Honorio. "A Simple Unified Framework for High Dimensional Bandit Problems" | [Home Page] | [PDF]

• Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank Reddi, Sanjiv Kumar. "Robust Training of Neural Networks Using Scale Invariant Architectures" | [Home Page] | [PDF]

• Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu. "Spatial-Channel Token Distillation for Vision MLPs" | [Home Page] | [PDF]

• Hepeng Li, Nicholas Clavette, Haibo He. "An Analytical Update Rule for General Policy Optimization" | [Home Page] | [PDF]

• Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie. "On Convergence of Gradient Descent Ascent: A Tight Local Analysis" | [Home Page] | [PDF]

• Yanwen Li, Siyang Gao. "On the Finite-Time Performance of the Knowledge Gradient Algorithm" | [Home Page] | [PDF]

• Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu. "Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning" | [Home Page] | [PDF]

• Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin. "G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters" | [Home Page] | [PDF]

• Shibo Li, Robert Kirby, Shandian Zhe. "Decomposing Temporal High-Order Interactions via Latent ODEs" | [Home Page] | [PDF]

• Henry Li, Yuval Kluger. "Neural Inverse Transform Sampler" | [Home Page] | [PDF]

• Changbin Li, Suraj Kothawade, Feng Chen, Rishabh Iyer. "PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information" | [Home Page] | [PDF]

• Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao. "Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Xiaoyun Li, Ping Li. "C-MinHash: Improving Minwise Hashing with Circulant Permutation" | [Home Page] | [PDF]

• Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. "BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation" | [Home Page] | [PDF]

• Huan Li, Zhouchen Lin. "Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity" | [Home Page] | [PDF]

• Peizhao Li, Hongfu Liu. "Achieving Fairness at No Utility Cost via Data Reweighing with Influence" | [Home Page] | [PDF]

• Shaojie Li, Yong Liu. "High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails" | [Home Page] | [PDF]

• Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong. "MetAug: Contrastive Learning via Meta Feature Augmentation" | [Home Page] | [PDF]

• Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang. "PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration" | [Home Page] | [PDF]

• Mingjie Li, Yisen Wang, Zhouchen Lin. "CerDEQ: Certifiable Deep Equilibrium Model" | [Home Page] | [PDF]

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• Shyam Narayanan, Vahab Mirrokni, Hossein Esfandiari. "Tight and Robust Private Mean Estimation with Few Users" | [Home Page] | [PDF]

• Elvis Nava, John Z Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann. "Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models" | [Home Page] | [PDF]

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• Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello. "Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models" | [Home Page] | [PDF]

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• Daniel J Rosenkrantz, Abhijin Adiga, Madhav Marathe, Zirou Qiu, S S Ravi, Richard Stearns, Anil Vullikanti. "Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries" | [Home Page] | [PDF]

• Emanuele Rossi, Federico Monti, Yan Leng, Michael Bronstein, Xiaowen Dong. "Learning to Infer Structures of Network Games" | [Home Page] | [PDF]

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• Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu. "What Dense Graph Do You Need for Self-Attention?" | [Home Page] | [PDF]

• Wenxiao Wang, Alexander J Levine, Soheil Feizi. "Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation" | [Home Page] | [PDF]

• Haoxiang Wang, Bo Li, Han Zhao. "Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond" | [Home Page] | [PDF]

• Yujia Wang, Lu Lin, Jinghui Chen. "Communication-Efficient Adaptive Federated Learning" | [Home Page] | [PDF]

• Jun-Kun Wang, Chi-Heng Lin, Andre Wibisono, Bin Hu. "Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out" | [Home Page] | [PDF]

• Zekai Wang, Weiwei Liu. "Robustness Verification for Contrastive Learning" | [Home Page] | [PDF]

• Peng Wang, Huikang Liu, Anthony Man-Cho So, Laura Balzano. "Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering" | [Home Page] | [PDF]

• Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou. "NP-Match: When Neural Processes meet Semi-Supervised Learning" | [Home Page] | [PDF]

• Rui Wang, Yanyan Ouyang, Wangli Xu. "Iterative Double Sketching for Faster Least-Squares Optimization" | [Home Page] | [PDF]

• Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel. "What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?" | [Home Page] | [PDF]

• Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao. "Improving Task-free Continual Learning by Distributionally Robust Memory Evolution" | [Home Page] | [PDF]

• Zifan Wang, Yi Shen, Michael Zavlanos. "Risk-Averse No-Regret Learning in Online Convex Games" | [Home Page] | [PDF]

• Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao. "Provable Domain Generalization via Invariant-Feature Subspace Recovery" | [Home Page] | [PDF]

• Hui-Po Wang, Sebastian Stich, Yang He, Mario Fritz. "ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training" | [Home Page] | [PDF]

• Qi Wang, Herke Van Hoof. "Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search" | [Home Page] | [PDF]

• Rui Wang, Robin Walters, Rose Yu. "Approximately Equivariant Networks for Imperfectly Symmetric Dynamics" | [Home Page] | [PDF]

• Yi Wang, Zhiren Wang. "Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points" | [Home Page] | [PDF]

• Jialu Wang, Xin Eric Wang, Yang Liu. "Understanding Instance-Level Impact of Fairness Constraints" | [Home Page] | [PDF]

• Benjie Wang, Matthew R Wicker, Marta Kwiatkowska. "Tractable Uncertainty for Structure Learning" | [Home Page] | [PDF]

• Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone. "Causal Dynamics Learning for Task-Independent State Abstraction" | [Home Page] | [PDF]

• Xuchuang Wang, Hong Xie, John C. S. Lui. "Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms" | [Home Page] | [PDF]

• Wujie Wang, Minkai Xu, Chen Cai, Benjamin K Miller, Tess Smidt, Yusu Wang, Jian Tang, Rafael Gomez-Bombarelli. "Generative Coarse-Graining of Molecular Conformations" | [Home Page] | [PDF]

• Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe. "Nonparametric Embeddings of Sparse High-Order Interaction Events" | [Home Page] | [PDF]

• Huazheng Wang, Haifeng Xu, Hongning Wang. "When Are Linear Stochastic Bandits Attackable?" | [Home Page] | [PDF]

• Zhuang Wang, Zhaozhuo Xu, Xinyu Wu, Anshumali Shrivastava, T. S. Eugene Ng. "DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks" | [Home Page] | [PDF]

• Bokun Wang, Tianbao Yang. "Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications" | [Home Page] | [PDF]

• Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang. "OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework" | [Home Page] | [PDF]

• Xiyuan Wang, Muhan Zhang. "How Powerful are Spectral Graph Neural Networks" | [Home Page] | [PDF]

• Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri. "Thompson Sampling for Robust Transfer in Multi-Task Bandits" | [Home Page] | [PDF]

• Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan. "Individual Reward Assisted Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang. "Removing Batch Normalization Boosts Adversarial Training" | [Home Page] | [PDF]

• Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J Smola, Zhangyang Wang. "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" | [Home Page] | [PDF]

• Zheng Wang, Shandian Zhe. "Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition" | [Home Page] | [PDF]

• Siwei Wang, Jun Zhu. "Thompson Sampling for (Combinatorial) Pure Exploration" | [Home Page] | [PDF]

• Yue Wang, Shaofeng Zou. "Policy Gradient Method For Robust Reinforcement Learning" | [Home Page] | [PDF]

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• Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li. "Mitigating Neural Network Overconfidence with Logit Normalization" | [Home Page] | [PDF]

• Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Kawahara Yoshinobu. "Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics" | [Home Page] | [PDF]

• Yuxin Wen, Jonas A. Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein. "Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification" | [Home Page] | [PDF]

• Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen. "BabelTower: Learning to Auto-parallelized Program Translation" | [Home Page] | [PDF]

• Hongwei Wen, Hanyuan Hang. "Random Forest Density Estimation" | [Home Page] | [PDF]

• Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao. "Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming" | [Home Page] | [PDF]

• Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John Cunningham, Jacob Gardner. "Preconditioning for Scalable Gaussian Process Hyperparameter Optimization" | [Home Page] | [PDF]

• Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M Murphy. "Measure Estimation in the Barycentric Coding Model" | [Home Page] | [PDF]

• Timon Willi, Alistair Hp Letcher, Johannes Treutlein, Jakob Foerster. "COLA: Consistent Learning with Opponent-Learning Awareness" | [Home Page] | [PDF]

• Harley E Wiltzer, David Meger, Marc G. Bellemare. "Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning" | [Home Page] | [PDF]

• Michael T Wojnowicz, Shuchin Aeron, Eric L Miller, Michael Hughes. "Easy Variational Inference for Categorical Models via an Independent Binary Approximation" | [Home Page] | [PDF]

• Maciej Wołczyk, Karol Piczak, Bartosz Wójcik, Lukasz Pustelnik, Paweł Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemysław Spurek. "Continual Learning with Guarantees via Weight Interval Constraints" | [Home Page] | [PDF]

• Lukas Wolf, Ard Kastrati, Martyna B Plomecka, Jie-Ming Li, Dustin Klebe, Alexander Veicht, Roger Wattenhofer, Nicolas Langer. "A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications" | [Home Page] | [PDF]

• David Woodruff, Amir Zandieh. "Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time" | [Home Page] | [PDF]

• Mitchell Wortsman, Gabriel Ilharco, Samir Ya Gadre, Rebecca Roelofs, Raphael Gontijo-Lopes, Ari S Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt. "Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time" | [Home Page] | [PDF]

• Jimmy Wu, Yatong Chen, Yang Liu. "Metric-Fair Classifier Derandomization" | [Home Page] | [PDF]

• Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li. "Structural Entropy Guided Graph Hierarchical Pooling" | [Home Page] | [PDF]

• Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li. "Self-supervised Models are Good Teaching Assistants for Vision Transformers" | [Home Page] | [PDF]

• Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J Geras. "Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks" | [Home Page] | [PDF]

• Anpeng Wu, Kun Kuang, Bo Li, Fei Wu. "Instrumental Variable Regression with Confounder Balancing" | [Home Page] | [PDF]

• Kailu Wu, Chung-Kuei Lee, Kaisheng Ma. "MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution" | [Home Page] | [PDF]

• Xuyang Wu, Sindri Magnusson, Hamid Reza Feyzmahdavian, Mikael Johansson. "Delay-Adaptive Step-sizes for Asynchronous Learning" | [Home Page] | [PDF]

• Luhuan Wu, Geoff Pleiss, John P Cunningham. "Variational nearest neighbor Gaussian process" | [Home Page] | [PDF]

• Shuang Wu, Ling Shi, Jun Wang, Guangjian Tian. "Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach" | [Home Page] | [PDF]

• Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low. "DAVINZ: Data Valuation using Deep Neural Networks at Initialization" | [Home Page] | [PDF]

• Junlin Wu, Yevgeniy Vorobeychik. "Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum" | [Home Page] | [PDF]

• Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang. "Revisiting Consistency Regularization for Deep Partial Label Learning" | [Home Page] | [PDF]

• Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long. "Flowformer: Linearizing Transformers with Conservation Flows" | [Home Page] | [PDF]

• Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon Du, Jiantao Jiao. "Nearly Optimal Policy Optimization with Stable at Any Time Guarantee" | [Home Page] | [PDF]

• Yihan Wu, Hongyang Zhang, Heng Huang. "RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval" | [Home Page] | [PDF]

• Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham Kakade. "Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression" | [Home Page] | [PDF]

• Jinghui Xia, Zengfeng Huang. "Optimal Clustering with Noisy Queries via Multi-Armed Bandit" | [Home Page] | [PDF]

• Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li. "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning" | [Home Page] | [PDF]

• Lechao Xiao, Jeffrey Pennington. "Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm" | [Home Page] | [PDF]

• Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang. "Identification of Linear Non-Gaussian Latent Hierarchical Structure" | [Home Page] | [PDF]

• Sirui Xie, Ari S Morcos, Song-Chun Zhu, Ramakrishna Vedantam. "COAT: Measuring Object Compositionality in Emergent Representations" | [Home Page] | [PDF]

• Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang. "Robust Policy Learning over Multiple Uncertainty Sets" | [Home Page] | [PDF]

• Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama. "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum" | [Home Page] | [PDF]

• Yaochen Xie, Zhao Xu, Shuiwang Ji. "Self-Supervised Representation Learning via Latent Graph Prediction" | [Home Page] | [PDF]

• Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima. "Efficient Computation of Higher-Order Subgraph Attribution via Message Passing" | [Home Page] | [PDF]

• Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang. "A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games" | [Home Page] | [PDF]

• Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton. "Importance Weighted Kernel Bayes’ Rule" | [Home Page] | [PDF]

• Alan Xu, Romit Roy Choudhury. "Learning to Separate Voices by Spatial Regions" | [Home Page] | [PDF]

• An Xu, Heng Huang. "Detached Error Feedback for Distributed SGD with Random Sparsification" | [Home Page] | [PDF]

• Lantian Xu, Anna Korba, Dejan Slepcev. "Accurate Quantization of Measures via Interacting Particle-based Optimization" | [Home Page] | [PDF]

• Yinshuang Xu, Jiahui Lei, Edgar Dobriban, Kostas Daniilidis. "Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces" | [Home Page] | [PDF]

• Sascha Xu, Osman A Mian, Alexander Marx, Jilles Vreeken. "Inferring Cause and Effect in the Presence of Heteroscedastic Noise" | [Home Page] | [PDF]

• Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua Tenenbaum, Chuang Gan. "Prompting Decision Transformer for Few-Shot Policy Generalization" | [Home Page] | [PDF]

• Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li. "Analyzing and Mitigating Interference in Neural Architecture Search" | [Home Page] | [PDF]

• Ziping Xu, Ambuj Tewari. "On the Statistical Benefits of Curriculum Learning" | [Home Page] | [PDF]

• Haoqing Xu, Meng Wang, Beilun Wang. "A Difference Standardization Method for Mutual Transfer Learning" | [Home Page] | [PDF]

• Xiang Xu, Karl D.D. Willis, Joseph G Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa. "SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks" | [Home Page] | [PDF]

• Haoran Xu, Xianyuan Zhan, Honglei Yin, Huiling Qin. "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations" | [Home Page] | [PDF]

• Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli. "Adversarial Attack and Defense for Non-Parametric Two-Sample Tests" | [Home Page] | [PDF]

• Xiaojun Xu, Jacky Y Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li. "Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization" | [Home Page] | [PDF]

• Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui. "A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization" | [Home Page] | [PDF]

• Pan Xu, Hongkai Zheng, Eric V Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar. "Langevin Monte Carlo for Contextual Bandits" | [Home Page] | [PDF]

• Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman. "Investigating Why Contrastive Learning Benefits Robustness against Label Noise" | [Home Page] | [PDF]

• Keiichiro Yamamura, Haruki Sato, Nariaki Tateiwa, Nozomi Hata, Toru Mitsutake, Issa Oe, Hiroki Ishikura, Katsuki Fujisawa. "Diversified Adversarial Attacks based on Conjugate Gradient Method" | [Home Page] | [PDF]

• Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen. "Cycle Representation Learning for Inductive Relation Prediction" | [Home Page] | [PDF]

• Zeyu Yan, Fei Wen, Peilin Liu. "Optimally Controllable Perceptual Lossy Compression" | [Home Page] | [PDF]

• Tom Yan, Chicheng Zhang. "Active fairness auditing" | [Home Page] | [PDF]

• Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang. "Self-Organized Polynomial-Time Coordination Graphs" | [Home Page] | [PDF]

• Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou. "Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning" | [Home Page] | [PDF]

• Scott Cheng-Hsin Yang, Nils Erik Tomas Folke, Patrick Shafto. "A Psychological Theory of Explainability" | [Home Page] | [PDF]

• Ling Yang, Shenda Hong. "Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning" | [Home Page] | [PDF]

• Ling Yang, Shenda Hong. "Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion" | [Home Page] | [PDF]

• Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yinhe Han, Xiaowei Li. "Searching for BurgerFormer with Micro-Meso-Macro Space Design" | [Home Page] | [PDF]

• Hansi Yang, James Kwok. "Efficient Variance Reduction for Meta-learning" | [Home Page] | [PDF]

• Zhun Yang, Joohyung Lee, Chiyoun Park. "Injecting Logical Constraints into Neural Networks via Straight-Through Estimators" | [Home Page] | [PDF]

• Junchen Yang, Ofir Lindenbaum, Yuval Kluger. "Locally Sparse Neural Networks for Tabular Biomedical Data" | [Home Page] | [PDF]

• Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman. "Not All Poisons are Created Equal: Robust Training against Data Poisoning" | [Home Page] | [PDF]

• Rubing Yang, Jialin Mao, Pratik Chaudhari. "Does the Data Induce Capacity Control in Deep Learning?" | [Home Page] | [PDF]

• Jianyi Yang, Shaolei Ren. "Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity" | [Home Page] | [PDF]

• Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi. "Linear Bandit Algorithms with Sublinear Time Complexity" | [Home Page] | [PDF]

• Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin. "A New Perspective on the Effects of Spectrum in Graph Neural Networks" | [Home Page] | [PDF]

• Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang. "Fourier Learning with Cyclical Data" | [Home Page] | [PDF]

• Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu. "Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network" | [Home Page] | [PDF]

• Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky. "A Study of Face Obfuscation in ImageNet" | [Home Page] | [PDF]

• Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu. "Anarchic Federated Learning" | [Home Page] | [PDF]

• Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao. "Identity-Disentangled Adversarial Augmentation for Self-supervised Learning" | [Home Page] | [PDF]

• Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu. "Learning from a Learning User for Optimal Recommendations" | [Home Page] | [PDF]

• Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn. "Improving Out-of-Distribution Robustness via Selective Augmentation" | [Home Page] | [PDF]

• Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang. "NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework" | [Home Page] | [PDF]

• Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami. "Feature Space Particle Inference for Neural Network Ensembles" | [Home Page] | [PDF]

• Mao Ye, Qiang Liu. "Centroid Approximation for Bootstrap: Improving Particle Quality at Inference" | [Home Page] | [PDF]

• Thomas Yeh, Max Sterner, Zerlina Lai, Brandon Chuang, Alexander Ihler. "Be Like Water: Adaptive Floating Point for Machine Learning" | [Home Page] | [PDF]

• Liping Yi, Wang Gang, Liu Xiaoguang. "QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning" | [Home Page] | [PDF]

• Melih Yilmaz, William Fondrie, Wout Bittremieux, Sewoong Oh, William S Noble. "De novo mass spectrometry peptide sequencing with a transformer model" | [Home Page] | [PDF]

• Fan Yin, Jieying Jiao, Jun Yan, Guanyu Hu. "Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations" | [Home Page] | [PDF]

• Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang. "Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization" | [Home Page] | [PDF]

• Haoran You, Baopu Li, Shi Huihong, Yonggan Fu, Yingyan Lin. "ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks" | [Home Page] | [PDF]

• Zhaoning Yu, Hongyang Gao. "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks" | [Home Page] | [PDF]

• Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu. "Understanding Robust Overfitting of Adversarial Training and Beyond" | [Home Page] | [PDF]

• Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Chelsea Finn, Sergey Levine. "How to Leverage Unlabeled Data in Offline Reinforcement Learning" | [Home Page] | [PDF]

• Dongjie Yu, Haitong Ma, Shengbo Li, Jianyu Chen. "Reachability Constrained Reinforcement Learning" | [Home Page] | [PDF]

• Sixing Yu, Arya Mazaheri, Ali Jannesari. "Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning" | [Home Page] | [PDF]

• Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe. "The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks" | [Home Page] | [PDF]

• Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji. "GraphFM: Improving Large-Scale GNN Training via Feature Momentum" | [Home Page] | [PDF]

• Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu. "Latent Diffusion Energy-Based Model for Interpretable Text Modelling" | [Home Page] | [PDF]

• Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt. "Predicting Out-of-Distribution Error with the Projection Norm" | [Home Page] | [PDF]

• Haoqi Yuan, Zongqing Lu. "Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning" | [Home Page] | [PDF]

• Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang. "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance" | [Home Page] | [PDF]

• Kai Yue, Richeng Jin, Ryan Pilgrim, Chau-Wai Wong, Dror Baron, Huaiyu Dai. "Neural Tangent Kernel Empowered Federated Learning" | [Home Page] | [PDF]

• Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin. "Time Is MattEr: Temporal Self-supervision for Video Transformers" | [Home Page] | [PDF]

• Shiran Zada, Itay Benou, Michal Irani. "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" | [Home Page] | [PDF]

• Margaux Zaffran, Olivier Feron, Yannig Goude, Julie Josse, Aymeric Dieuleveut. "Adaptive Conformal Predictions for Time Series" | [Home Page] | [PDF]

• Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor. "Actor-Critic based Improper Reinforcement Learning" | [Home Page] | [PDF]

• Andrea Zanette, Martin Wainwright. "Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning" | [Home Page] | [PDF]

• Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn M Fung, Vikas Singh. "Multi Resolution Analysis (MRA) for Approximate Self-Attention" | [Home Page] | [PDF]

• Shiwei Zeng, Jie Shen. "Efficient PAC Learning from the Crowd with Pairwise Comparisons" | [Home Page] | [PDF]

• Yan Zeng, Xinsong Zhang, Hang Li. "Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts" | [Home Page] | [PDF]

• Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M Susskind. "Position Prediction as an Effective Pretraining Strategy" | [Home Page] | [PDF]

• Xi Zhang, Akshay Aravamudan, Georgios C Anagnostopoulos. "Anytime Information Cascade Popularity Prediction via Self-Exciting Processes" | [Home Page] | [PDF]

• Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi. "Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy" | [Home Page] | [PDF]

• Yikang Zhang, Zhuo Chen, Zhao Zhong. "Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs" | [Home Page] | [PDF]

• Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis. "PDE-Based Optimal Strategy for Unconstrained Online Learning" | [Home Page] | [PDF]

• Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang. "Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function" | [Home Page] | [PDF]

• Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou. "When and How Mixup Improves Calibration" | [Home Page] | [PDF]

• Dawei Zhang, Yanwei Fu, Zhonglong Zheng. "UAST: Uncertainty-Aware Siamese Tracking" | [Home Page] | [PDF]

• Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat. "Examining Scaling and Transfer of Language Model Architectures for Machine Translation" | [Home Page] | [PDF]

• Biao Zhang, Barry Haddow, Rico Sennrich. "Revisiting End-to-End Speech-to-Text Translation From Scratch" | [Home Page] | [PDF]

• Xinwei Zhang, Mingyi Hong, Sairaj Dhople, Nicola Elia. "A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms" | [Home Page] | [PDF]

• Jifan Zhang, Julian Katz-Samuels, Robert Nowak. "GALAXY: Graph-based Active Learning at the Extreme" | [Home Page] | [PDF]

• Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu. "Fairness Interventions as (Dis)Incentives for Strategic Manipulation" | [Home Page] | [PDF]

• Hegui Zhang, Gang Kou. "Role-based Multiplex Network Embedding" | [Home Page] | [PDF]

• Delvin Ce Zhang, Hady Lauw. "Dynamic Topic Models for Temporal Document Networks" | [Home Page] | [PDF]

• Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao. "Personalized Federated Learning via Variational Bayesian Inference" | [Home Page] | [PDF]

• Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu. "Federated Learning with Label Distribution Skew via Logits Calibration" | [Home Page] | [PDF]

• Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie. "Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective" | [Home Page] | [PDF]

• Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie. "Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity" | [Home Page] | [PDF]

• Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui. "Deep and Flexible Graph Neural Architecture Search" | [Home Page] | [PDF]

• Ruqi Zhang, Xingchao Liu, Qiang Liu. "A Langevin-like Sampler for Discrete Distributions" | [Home Page] | [PDF]

• Jianyu Zhang, David Lopez-Paz, Leon Bottou. "Rich Feature Construction for the Optimization-Generalization Dilemma" | [Home Page] | [PDF]

• Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron Courville, Yoshua Bengio. "Generative Flow Networks for Discrete Probabilistic Modeling" | [Home Page] | [PDF]

• Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael Mahoney, Prateek Mittal, Ramchandran Kannan, Joseph Gonzalez. "Neurotoxin: Durable Backdoors in Federated Learning" | [Home Page] | [PDF]

• Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai. "Making Linear MDPs Practical via Contrastive Representation Learning" | [Home Page] | [PDF]

• Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui. "NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning" | [Home Page] | [PDF]

• Michael Zhang, Nimit S Sohoni, Hongyang R Zhang, Chelsea Finn, Christopher Re. "Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations" | [Home Page] | [PDF]

• Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun. "Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach" | [Home Page] | [PDF]

• Junzhe Zhang, Jin Tian, Elias Bareinboim. "Partial Counterfactual Identification from Observational and Experimental Data" | [Home Page] | [PDF]

• Lily Zhang, Veronica Tozzo, John Higgins, Rajesh Ranganath. "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets" | [Home Page] | [PDF]

• Mingrui Zhang, Jianhong Wang, James B Tlhomole, Matthew Piggott. "Learning to Estimate and Refine Fluid Motion with Physical Dynamics" | [Home Page] | [PDF]

• Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, Zico Kolter. "A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks" | [Home Page] | [PDF]

• Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang. "A Simple yet Universal Strategy for Online Convex Optimization" | [Home Page] | [PDF]

• Ruqi Zhang, Andrew Gordon Wilson, Christopher De Sa. "Low-Precision Stochastic Gradient Langevin Dynamics" | [Home Page] | [PDF]

• Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu. "Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control" | [Home Page] | [PDF]

• Yilang Zhang, Mengchu Xu, Xiaojun Mao, Jian Wang. "Uncertainty Modeling in Generative Compressed Sensing" | [Home Page] | [PDF]

• Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala. "Building Robust Ensembles via Margin Boosting" | [Home Page] | [PDF]

• Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu. "Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization" | [Home Page] | [PDF]

• Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang. "Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory" | [Home Page] | [PDF]

• Jiayao Zhang, Hongming Zhang, Weijie Su, Dan Roth. "ROCK: Causal Inference Principles for Reasoning about Commonsense Causality" | [Home Page] | [PDF]

• Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou. "No-Regret Learning in Time-Varying Zero-Sum Games" | [Home Page] | [PDF]

• Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao. "PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance" | [Home Page] | [PDF]

• Shipu Zhao, Zachary Frangella, Madeleine Udell. "NysADMM: faster composite convex optimization via low-rank approximation" | [Home Page] | [PDF]

• Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L.S. Wong. "Toward Compositional Generalization in Object-Oriented World Modeling" | [Home Page] | [PDF]

• Peng Zhao, Long-Fei Li, Zhi-Hua Zhou. "Dynamic Regret of Online Markov Decision Processes" | [Home Page] | [PDF]

• Qingqing Zhao, David B Lindell, Gordon Wetzstein. "Learning to Solve PDE-constrained Inverse Problems with Graph Networks" | [Home Page] | [PDF]

• Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang. "Learning from Counterfactual Links for Link Prediction" | [Home Page] | [PDF]

• Sen Zhao, Erez Louidor, Maya Gupta. "Global Optimization Networks" | [Home Page] | [PDF]

• Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang. "Certified Robustness Against Natural Language Attacks by Causal Intervention" | [Home Page] | [PDF]

• Dengwei Zhao, Shikui Tu, Lei Xu. "Efficient Learning for AlphaZero via Path Consistency" | [Home Page] | [PDF]

• Yang Zhao, Hao Zhang, Xiuyuan Hu. "Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning" | [Home Page] | [PDF]

• Lin Zheng, Huijie Pan, Lingpeng Kong. "Ripple Attention for Visual Perception with Sub-quadratic Complexity" | [Home Page] | [PDF]

• Lin Zheng, Chong Wang, Lingpeng Kong. "Linear Complexity Randomized Self-attention Mechanism" | [Home Page] | [PDF]

• Qinqing Zheng, Amy Zhang, Aditya Grover. "Online Decision Transformer" | [Home Page] | [PDF]

• Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos. "Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks" | [Home Page] | [PDF]

• Andrey Zhmoginov, Mark Sandler, Maksym Vladymyrov. "HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning" | [Home Page] | [PDF]

• Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt. "Describing Differences between Text Distributions with Natural Language" | [Home Page] | [PDF]

• Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang. "Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets" | [Home Page] | [PDF]

• Dongruo Zhou, Quanquan Gu. "Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization" | [Home Page] | [PDF]

• Weichao Zhou, Wenchao Li. "A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines" | [Home Page] | [PDF]

• Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu. "On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features" | [Home Page] | [PDF]

• Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang. "Model Agnostic Sample Reweighting for Out-of-Distribution Learning" | [Home Page] | [PDF]

• Xiao Zhou, Yong Lin, Weizhong Zhang, Tong Zhang. "Sparse Invariant Risk Minimization" | [Home Page] | [PDF]

• Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji. "Prototype-Anchored Learning for Learning with Imperfect Annotations" | [Home Page] | [PDF]

• Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin. "FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting" | [Home Page] | [PDF]

• Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang. "Probabilistic Bilevel Coreset Selection" | [Home Page] | [PDF]

• Baojian Zhou, Yifan Sun. "Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets" | [Home Page] | [PDF]

• Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu. "Improving Adversarial Robustness via Mutual Information Estimation" | [Home Page] | [PDF]

• Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu. "Modeling Adversarial Noise for Adversarial Training" | [Home Page] | [PDF]

• Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, Ya Zhang. "Contrastive Learning with Boosted Memorization" | [Home Page] | [PDF]

• Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez. "Understanding The Robustness in Vision Transformers" | [Home Page] | [PDF]

• Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang. "VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training" | [Home Page] | [PDF]

• Zhaowei Zhu, Zihao Dong, Yang Liu. "Detecting Corrupted Labels Without Training a Model to Predict" | [Home Page] | [PDF]

• Yinglun Zhu, Dylan J Foster, John Langford, Paul Mineiro. "Contextual Bandits with Large Action Spaces: Made Practical" | [Home Page] | [PDF]

• Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang. "Neural-Symbolic Models for Logical Queries on Knowledge Graphs" | [Home Page] | [PDF]

• Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao. "Topology-aware Generalization of Decentralized SGD" | [Home Page] | [PDF]

• Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou. "Resilient and Communication Efficient Learning for Heterogeneous Federated Systems" | [Home Page] | [PDF]

• Aiqing Zhu, Pengzhan Jin, Beibei Zhu, Yifa Tang. "On Numerical Integration in Neural Ordinary Differential Equations" | [Home Page] | [PDF]

• Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang. "When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee" | [Home Page] | [PDF]

• Yinglun Zhu, Paul Mineiro. "Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces" | [Home Page] | [PDF]

• Tianhao Zhu, Jie Shen. "Residual-Based Sampling for Online Outlier-Robust PCA" | [Home Page] | [PDF]

• Jiapeng Zhu, Yujun Shen, Yinghao Xu, Deli Zhao, Qifeng Chen. "Region-Based Semantic Factorization in GANs" | [Home Page] | [PDF]

• Zhaowei Zhu, Jialu Wang, Yang Liu. "Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features" | [Home Page] | [PDF]

• Brian Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza. "Towards Uniformly Superhuman Autonomy via Subdominance Minimization" | [Home Page] | [PDF]

• Pini Zilber, Boaz Nadler. "Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm" | [Home Page] | [PDF]

• Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui. "Counterfactual Prediction for Outcome-Oriented Treatments" | [Home Page] | [PDF]

• Xinrui Zu, Qian Tao. "SpaceMAP: Visualizing High-Dimensional Data by Space Expansion" | [Home Page] | [PDF]