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Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards


Jun 02, 2022
Ashwinkumar Badanidiyuru , Zhe Feng , Tianxi Li , Haifeng Xu


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Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning


Feb 22, 2022
Jibang Wu , Zixuan Zhang , Zhe Feng , Zhaoran Wang , Zhuoran Yang , Michael I. Jordan , Haifeng Xu


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Online Bayesian Recommendation with No Regret


Feb 12, 2022
Yiding Feng , Wei Tang , Haifeng Xu


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Learning from a Learning User for Optimal Recommendations


Feb 03, 2022
Fan Yao , Chuanhao Li , Denis Nekipelov , Hongning Wang , Haifeng Xu


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Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms


Nov 10, 2021
Jibang Wu , Haifeng Xu , Fan Yao


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(Almost) Free Incentivized Exploration from Decentralized Learning Agents


Oct 27, 2021
Chengshuai Shi , Haifeng Xu , Wei Xiong , Cong Shen

* Accepted to NeurIPS 2021, camera-ready version 

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Least Square Calibration for Peer Review


Oct 25, 2021
Sijun Tan , Jibang Wu , Xiaohui Bei , Haifeng Xu


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When Are Linear Stochastic Bandits Attackable?


Oct 18, 2021
Huazheng Wang , Haifeng Xu , Hongning Wang


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Learning the Optimal Recommendation from Explorative Users


Oct 06, 2021
Fan Yao , Chuanhao Li , Denis Nekipelov , Hongning Wang , Haifeng Xu


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Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion


Sep 25, 2021
Chenghan Zhou , Thanh H. Nguyen , Haifeng Xu


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