Canzhe Zhao

According to our database, Canzhe Zhao authored at least 12 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Clustering of conversational bandits with posterior sampling for user preference learning and elicitation.

Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li

User Model. User Adapt. Interact., November, 2023

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback.

Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li

CoRR, 2023

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.

Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback.

Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.

Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition.

Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm.

Fang Kong, Canzhe Zhao, Shuai Li

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Knowledge-aware Conversational Preference Elicitation with Bandit Feedback.

Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model.

Cheng Chen, Canzhe Zhao, Shuai Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Conservative Contextual Combinatorial Cascading Bandit.

Kun Wang, Canzhe Zhao, Shuai Li, Shuo Shao

CoRR, 2021

Comparison-based Conversational Recommender System with Relative Bandit Feedback.

Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Clustering of Conversational Bandits for User Preference Learning and Elicitation.

Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021