Canzhe Zhao - RankMe

23 papers A* 9A 3Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decentralized Asynchronous Multi-player Bandits. CoRR Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang
2025	J	`jnl`	Heavy-tailed Linear Bandits: Adversarial Robustness, Best-of-both-worlds, and Beyond. CoRR Canzhe Zhao, Shinji Ito, Shuai Li
2025	A*	`conf`	Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback. ICML Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li
2025	A*	`conf`	Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions. AAAI Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2025	A	`conf`	Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. UAI Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li
2024	J	`jnl`	Toward joint utilization of absolute and relative bandit feedback for conversational recommendation. User Model. User Adapt. Interact. Yu Xia, Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2023	A*	`conf`	Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm. COLT Fang Kong, Canzhe Zhao, Shuai Li
2023	J	`jnl`	Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm. CoRR Fang Kong, Canzhe Zhao, Shuai Li
2023	J	`jnl`	Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. User Model. User Adapt. Interact. Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li
2023	A*	`conf`	DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. IJCAI Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023	J	`jnl`	DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. CoRR Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023	A	`conf`	Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. WSDM Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023	A*	`conf`	Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. ICLR Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li
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
2022	J	`jnl`	Comparison-based Conversational Recommender System with Relative Bandit Feedback. CoRR Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2022	J	`jnl`	Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. CoRR Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2022	A*	`conf`	Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. WWW Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li
2022	A*	`conf`	Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. AAAI Cheng Chen, Canzhe Zhao, Shuai Li
2022	J	`jnl`	Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. CoRR Cheng Chen, Canzhe Zhao, Shuai Li
2021	A	`conf`	Clustering of Conversational Bandits for User Preference Learning and Elicitation. CIKM Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li
2021	A*	`conf`	Comparison-based Conversational Recommender System with Relative Bandit Feedback. SIGIR Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2021	J	`jnl`	Conservative Contextual Combinatorial Cascading Bandit. CoRR Kun Wang, Canzhe Zhao, Shuai Li, Shuo Shao