Zhu, Xiaojin

75 publications

AISTATS 2024 Anytime-Constrained Reinforcement Learning Jeremy McMahan, Xiaojin Zhu

AAAI 2024 Data Poisoning to Fake a Nash Equilibria for Markov Games Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

AAAI 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu

NeurIPS 2024 On the Complexity of Teaching a Family of Linear Behavior Cloning Learners Shubham Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu

AAAI 2024 Optimal Attack and Defense for Reinforcement Learning Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie

AISTATS 2023 Byzantine-Robust Online and Offline Distributed Reinforcement Learning Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu

NeurIPS 2023 Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li

NeurIPS 2023 Mechanism Design for Collaborative Normal Mean Estimation Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy

AAAI 2023 Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

AISTATS 2022 Corruption-Robust Offline Reinforcement Learning Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun

IJCAI 2022 Game Redesign in No-Regret Game Playing Yuzhe Ma, Young Wu, Xiaojin Zhu

ICML 2022 Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li

NeurIPS 2022 Provable Defense Against Backdoor Policies in Reinforcement Learning Shubham Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu

JMLR 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

MLJ 2021 Provable Training Set Debugging for Linear Regression Xiaomin Zhang, Xiaojin Zhu, Po-Ling Loh

ICML 2021 Robust Policy Gradient Against Strong Data Corruption Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun

AAAI 2021 Sequential Attacks on Kalman Filter-Based Forward Collision Warning Systems Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

AAAI 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

ICML 2020 Adaptive Reward-Poisoning Attacks Against Reinforcement Learning Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu

L4DC 2020 Online Data Poisoning Attacks Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard

AAAI 2020 Optimal Attack Against Autoregressive Models by Manipulating the Environment Yiding Chen, Xiaojin Zhu

ICML 2020 Policy Teaching via Environment Poisoning: Training-Time Adversarial Attacks Against Reinforcement Learning Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

NeurIPS 2019 A Unified Framework for Data Poisoning Attack to Graph-Based Semi-Supervised Learning Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh

AISTATS 2019 An Optimal Control Approach to Sequential Machine Teaching Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu

IJCAI 2019 Data Poisoning Against Differentially-Private Learners: Attacks and Defenses Yuzhe Ma, Xiaojin Zhu, Justin Hsu

NeurIPS 2019 Policy Poisoning in Batch Reinforcement Learning and Control Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu

NeurIPS 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla

ICML 2019 Teaching a Black-Box Learner Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu

NeurIPS 2018 Adversarial Attacks on Stochastic Bandits Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Xiaojin Zhu

AISTATS 2018 Teacher Improves Learning by Selecting a Training Subset Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu

AAAI 2018 Training Set Debugging Using Trusted Items Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright

AAAI 2017 Explicit Defense Actions Against Test-Set Attacks Scott Alfeld, Xiaojin Zhu, Paul Barford

IJCAI 2017 No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously Xiaojin Zhu, Ji Liu, Manuel Lopes

NeurIPS 2016 Active Learning with Oracle Epiphany Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu

AAAI 2016 Data Poisoning Attacks Against Autoregressive Models Scott Alfeld, Xiaojin Zhu, Paul Barford

IJCAI 2016 Stochastic Multiresolution Persistent Homology Kernel Xiaojin Zhu, Ara Vartanian, Manish Bansal, Duy Nguyen, Luke Brandl

ICML 2016 The Label Complexity of Mixed-Initiative Classifier Training Jina Suh, Xiaojin Zhu, Saleema Amershi

ICML 2016 The Teaching Dimension of Linear Learners Ji Liu, Xiaojin Zhu, Hrag Ohannessian

JMLR 2016 The Teaching Dimension of Linear Learners Ji Liu, Xiaojin Zhu

AISTATS 2016 Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls Kwang-Sung Jun, Kevin G. Jamieson, Robert D. Nowak, Xiaojin Zhu

NeurIPS 2015 Human Memory Search as Initial-Visit Emitting Random Walk Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan

AAAI 2015 Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education Xiaojin Zhu

COLT 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu

AISTATS 2015 The Security of Latent Dirichlet Allocation Shike Mei, Xiaojin Zhu

AAAI 2015 Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners Shike Mei, Xiaojin Zhu

NeurIPS 2014 Optimal Teaching for Limited-Capacity Human Learners Kaustubh R Patil, Xiaojin Zhu, Łukasz Kopeć, Bradley C. Love

NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family Xiaojin Zhu

IJCAI 2013 Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing Xiaojin Zhu

IJCAI 2013 Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu

ECML-PKDD 2012 Socioscope: Spatio-Temporal Signal Recovery from Social Media Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu

IJCAI 2011 A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht

AAAI 2011 Co-Training as a Human Collaboration Policy Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers

NeurIPS 2011 How Do Humans Teach: On Curriculum Learning and Teaching Dimension Faisal Khan, Bilge Mutlu, Xiaojin Zhu

NeurIPS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty Shilin Ding, Grace Wahba, Xiaojin Zhu

AAAI 2011 OASIS: Online Active Semi-Supervised Learning Andrew B. Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu

ICML 2010 Cognitive Models of Test-Item Effects in Human Category Learning Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish

NeurIPS 2010 Humans Learn Using Manifolds, Reluctantly Tim Rogers, Chuck Kalish, Joseph Harrison, Xiaojin Zhu, Bryan R. Gibson

NeurIPS 2010 Transduction with Matrix Completion: Three Birds with One Stone Andrew Goldberg, Ben Recht, Junming Xu, Robert Nowak, Xiaojin Zhu

NeurIPS 2009 Human Rademacher Complexity Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers

ICML 2009 Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors David Andrzejewski, Xiaojin Zhu, Mark Craven

AISTATS 2009 Multi-Manifold Semi-Supervised Learning Andrew Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, Robert Nowak

NeurIPS 2008 Human Active Learning Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers, Xiaojin Zhu

AAAI 2008 Learning to Analyze Binary Computer Code Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller, Karen Hunt

AAAI 2008 Online Learning in Monkeys Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki Colman, Joseph W. Kemnitz

ECML-PKDD 2008 Online Manifold Regularization: A New Learning Setting and Empirical Study Andrew B. Goldberg, Ming Li, Xiaojin Zhu

NeurIPS 2008 Unlabeled Data: Now It Helps, Now It Doesn't Aarti Singh, Robert Nowak, Xiaojin Zhu

AAAI 2007 A Text-to-Picture Synthesis System for Augmenting Communication Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, Charles R. Dyer, Bradley Strock

IJCAI 2007 Correlation Clustering for Crosslingual Link Detection Jurgen Van Gael, Xiaojin Zhu

AISTATS 2007 Dissimilarity in Graph-Based Semi-Supervised Classification Andrew B. Goldberg, Xiaojin Zhu, Stephen Wright

AAAI 2007 Humans Perform Semi-Supervised Classification Too Xiaojin Zhu, Timothy T. Rogers, Ruichen Qian, Chuck Kalish

AAAI 2007 Kernel Regression with Order Preferences Xiaojin Zhu, Andrew B. Goldberg

ICML 2005 Harmonic Mixtures: Combining Mixture Models and Graph-Based Methods for Inductive and Scalable Semi-Supervised Learning Xiaojin Zhu, John D. Lafferty

ICML 2004 Kernel Conditional Random Fields: Representation and Clique Selection John D. Lafferty, Xiaojin Zhu, Yan Liu

NeurIPS 2004 Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani, John D. Lafferty

ICML 2003 Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty