Xiaojin Zhu

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