Jibang Wu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Top Venues

Publications

Jibang Wu, Siyu Chen, Mengdi Wang, Huazheng Wang, Haifeng Xu
Contractual Reinforcement Learning: Pulling Arms with Invisible Hands. CoRR (2024)
Jiarui Gan, Minbiao Han, Jibang Wu, Haifeng Xu
Robust Stackelberg Equilibria. EC (2023)
Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. CoRR (2023)
Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. ICML (2023)
Jiarui Gan, Minbiao Han, Jibang Wu, Haifeng Xu
Robust Stackelberg Equilibria. CoRR (2023)
Jibang Wu, Haifeng Xu, Yifan Guo, Weijie Su
An Isotonic Mechanism for Overlapping Ownership. CoRR (2023)
Jibang Wu, Haifeng Xu, Fan Yao
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms. COLT (2022)
Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. CoRR (2022)
Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. EC (2022)
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. CoRR (2022)
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS (2022)
Jiarui Gan, Minbiao Han, Jibang Wu, Haifeng Xu
Optimal Coordination in Generalized Principal-Agent Problems: A Revisit and Extensions. CoRR (2022)
Jibang Wu, Ashwinkumar Badanidiyuru, Haifeng Xu
Auctioning with Strategically Reticent Bidders. CoRR (2021)
Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu
Least Square Calibration for Peer Reviews. NeurIPS (2021)
Jibang Wu, Haifeng Xu, Fan Yao
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms. CoRR (2021)
Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang
Category-aware Collaborative Sequential Recommendation. SIGIR (2021)
Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu
Least Square Calibration for Peer Review. CoRR (2021)
Jibang Wu, Renqin Cai, Hongning Wang
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. WWW (2020)
Jibang Wu, Renqin Cai, Hongning Wang
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. CoRR (2020)