Xiaojin Zhu

Anytime-Constrained Reinforcement Learning AISTATS 2024 Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024 On the Complexity of Teaching a Family of Linear Behavior Cloning Learners NeurIPS 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024 Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023 Dream the Impossible: Outlier Imagination with Diffusion Models NeurIPS 2023 Mechanism Design for Collaborative Normal Mean Estimation NeurIPS 2023 Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning AAAI 2023 Corruption-robust Offline Reinforcement Learning AISTATS 2022 Game Redesign in No-regret Game Playing IJCAI 2022 Out-of-Distribution Detection with Deep Nearest Neighbors ICML 2022 Provable Defense against Backdoor Policies in Reinforcement Learning NeurIPS 2022 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021 Robust Policy Gradient against Strong Data Corruption ICML 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020 Online Data Poisoning Attacks L4DC 2020 Optimal Attack against Autoregressive Models by Manipulating the Environment AAAI 2020 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020 An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019 A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NeurIPS 2019 Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NeurIPS 2019 Teaching a black-box learner ICML 2019 Adversarial Attacks on Stochastic Bandits NeurIPS 2018 Teacher Improves Learning by Selecting a Training Subset AISTATS 2018 No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017 Active Learning with Oracle Epiphany NeurIPS 2016 Stochastic Multiresolution Persistent Homology Kernel IJCAI 2016 The Label Complexity of Mixed-Initiative Classifier Training ICML 2016 The Teaching Dimension of Linear Learners ICML 2016 The Teaching Dimension of Linear Learners JMLR 2016 Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls AISTATS 2016 Human Memory Search as Initial-Visit Emitting Random Walk NeurIPS 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 The Security of Latent Dirichlet Allocation AISTATS 2015 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 An Examination of Regret in Bullying Tweets NAACL 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing IJCAI 2013 Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) IJCAI 2013 Behavioral Factors in Interactive Training of Text Classifiers NAACL 2012 Learning from Bullying Traces in Social Media NAACL 2012 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 Human Rademacher Complexity NeurIPS 2009 May All Your Wishes Come True: A Study of Wishes and How to Recognize Them NAACL 2009 Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout CoNLL 2008 Human Active Learning NeurIPS 2008 Learning Bigrams from Unigrams ACL 2008 Unlabeled data: Now it helps, now it doesn't NeurIPS 2008 A Topic Model for Word Sense Disambiguation EMNLP 2007 Improving Diversity in Ranking using Absorbing Random Walks NAACL 2007 Multi-Manifold Semi-Supervised Learning AISTATS 2005 Dissimilarity in Graph-Based Semi-Supervised Classification AISTATS 1999