Xuezhou Zhang - RankMe

69 papers A* 24A 4B 1Journal 38Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling In-Context Online Learning Capability of LLMs via Cross-Episode Meta-RL. CoRR Xiaofeng Lin, Sirou Zhu, Yilei Chen, Mingyu Chen, Hejian Sang, Ioannis Paschalidis, Zhipeng Wang, Aldo Pacchiano, Xuezhou Zhang
2025	J	`jnl`	Accelerating RL for LLM Reasoning with Optimal Advantage Regression. CoRR Kianté Brantley, Mingyu Chen, Zhaolin Gao, Jason D. Lee, Wen Sun, Wenhao Zhan, Xuezhou Zhang
2025	J	`jnl`	Avoiding exp(R CoRR Mingyu Chen, Yiding Chen, Wen Sun, Xuezhou Zhang
2025	J	`jnl`	Debunk the Myth of SFT Generalization. CoRR Xiaofeng Lin, Hejian Sang, Zhipeng Wang, Xuezhou Zhang
2025	A*	`conf`	Efficient Reinforcement Learning in Probabilistic Reward Machines. AAAI Xiaofeng Lin, Xuezhou Zhang
2024	J	`jnl`	Efficient Reinforcement Learning in Probabilistic Reward Machines. CoRR Xiaofeng Lin, Xuezhou Zhang
2024	A*	`conf`	Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. AAAI Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu
2024	A*	`conf`	Scale-free Adversarial Reinforcement Learning. COLT Mingyu Chen, Xuezhou Zhang
2024	J	`jnl`	Scale-free Adversarial Reinforcement Learning. CoRR Mingyu Chen, Xuezhou Zhang
2024	A*	`conf`	State-free Reinforcement Learning. NeurIPS Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
2024	J	`jnl`	State-free Reinforcement Learning. CoRR Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
2023	A	`conf`	Byzantine-Robust Online and Offline Distributed Reinforcement Learning. AISTATS Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
2023	J	`jnl`	Federated Multi-Level Optimization over Decentralized Networks. CoRR Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
2023	J	`jnl`	Improved Algorithms for Adversarial Bandits with Unbounded Losses. CoRR Mingyu Chen, Xuezhou Zhang
2023	A*	`conf`	Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. NeurIPS Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
2023	J	`jnl`	Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. CoRR Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
2023	A*	`conf`	Provable Benefits of Representational Transfer in Reinforcement Learning. COLT Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
2023	A*	`conf`	Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. ICML Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
2023	J	`jnl`	Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. CoRR Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
2023	A*	`conf`	Representation Learning for Low-rank General-sum Markov Games. ICLR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang
2022	A*	`conf`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. NeurIPS Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	J	`jnl`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. CoRR Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	J	`jnl`	Byzantine-Robust Online and Offline Distributed Reinforcement Learning. CoRR Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
2022	A	`conf`	Corruption-robust Offline Reinforcement Learning. AISTATS Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
2022	A*	`conf`	Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks. NeurIPS Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
2022	J	`jnl`	Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks. CoRR Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
2022	J	`jnl`	Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach. CoRR Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun
2022	A*	`conf`	Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach. ICML Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun
2022	A*	`conf`	Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory. ICML Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang
2022	J	`jnl`	Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory. CoRR Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang
2022	J	`jnl`	Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration. CoRR Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang
2022	A*	`conf`	Optimal Estimation of Policy Gradient via Double Fitted Iteration. ICML Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang
2022	J	`jnl`	Provable Benefits of Representational Transfer in Reinforcement Learning. CoRR Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
2022	A*	`conf`	Provable Defense against Backdoor Policies in Reinforcement Learning. NeurIPS Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Jerry Zhu
2022	J	`jnl`	Provable Defense against Backdoor Policies in Reinforcement Learning. CoRR Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu
2022	J	`jnl`	Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
2022	J	`jnl`	Representation Learning for General-sum Low-rank Markov Games. CoRR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang
2022	A*	`conf`	Representation Learning for Online and Offline RL in Low-rank MDPs. ICLR Masatoshi Uehara, Xuezhou Zhang, Wen Sun
2021	A*	`conf`	Controllable and Diverse Text Generation in E-commerce. WWW Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
2021	J	`jnl`	Controllable and Diverse Text Generation in E-commerce. CoRR Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
2021	J	`jnl`	Corruption-Robust Offline Reinforcement Learning. CoRR Xuezhou Zhang, Yiding Chen, Jerry Zhu, Wen Sun
2021	A*	`conf`	Neural Additive Models: Interpretable Machine Learning with Neural Nets. NeurIPS Rishabh Agarwal, Levi Melnick, Nicholas Frosst, Xuezhou Zhang, Benjamin J. Lengerich, Rich Caruana, Geoffrey E. Hinton
2021	J	`jnl`	Representation Learning for Online and Offline RL in Low-rank MDPs. CoRR Masatoshi Uehara, Xuezhou Zhang, Wen Sun
2021	J	`jnl`	Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. CoRR Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla
2021	A*	`conf`	Robust Policy Gradient against Strong Data Corruption. ICML Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
2021	J	`jnl`	Robust Policy Gradient against Strong Data Corruption. CoRR Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun
2021	A*	`conf`	The Sample Complexity of Teaching by Reinforcement on Q-Learning. AAAI Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2021	B	`conf`	Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CogSci Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu
2020	A*	`conf`	Adaptive Reward-Poisoning Attacks against Reinforcement Learning. ICML Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Adaptive Reward-Poisoning Attacks against Reinforcement Learning. CoRR Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Neural Additive Models: Interpretable Machine Learning with Neural Nets. CoRR Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton
2020	—	`conf`	Online Data Poisoning Attacks. L4DC Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard
2020	A*	`conf`	Task-agnostic Exploration in Reinforcement Learning. NeurIPS Xuezhou Zhang, Yuzhe Ma, Adish Singla
2020	J	`jnl`	Task-agnostic Exploration in Reinforcement Learning. CoRR Xuezhou Zhang, Yuzhe Ma, Adish Singla
2020	J	`jnl`	The Teaching Dimension of Q-learning. CoRR Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CoRR Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu
2019	A	`conf`	An Optimal Control Approach to Sequential Machine Teaching. AISTATS Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
2019	A*	`conf`	Axiomatic Interpretability for Multiclass Additive Models. KDD Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
2019	J	`jnl`	Online Data Poisoning Attack. CoRR Xuezhou Zhang, Xiaojin Zhu
2019	A*	`conf`	Policy Poisoning in Batch Reinforcement Learning and Control. NeurIPS Yuzhe Ma, Xuezhou Zhang, Wen Sun, Jerry Zhu
2019	J	`jnl`	Policy Poisoning in Batch Reinforcement Learning and Control. CoRR Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu
2018	J	`jnl`	An Optimal Control Approach to Sequential Machine Teaching. CoRR Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
2018	J	`jnl`	Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models. CoRR Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
2018	A	`conf`	Teacher Improves Learning by Selecting a Training Subset. AISTATS Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu
2018	J	`jnl`	Teacher Improves Learning by Selecting a Training Subset. CoRR Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu
2018	—	`conf`	Training Set Camouflage. GameSec Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu
2018	J	`jnl`	Training Set Camouflage. CoRR Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu
2018	A*	`conf`	Training Set Debugging Using Trusted Items. AAAI Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright
2018	J	`jnl`	Training Set Debugging Using Trusted Items. CoRR Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright