Fang Kong

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Variance Reduction

Top Venues

Publications

Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. CoRR (2024)
Fang Kong, Shuai Li
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility. AAAI (2024)
Fang Kong, Shuai Li
Player-optimal Stable Regret for Bandit Learning in Matching Markets. SODA (2023)
Yichi Zhou, Fang Kong, Shuai Li
Stochastic No-regret Learning for General Games with Variance Reduction. ICLR (2023)
Fang Kong, Yichi Zhou, Shuai Li
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. CoRR (2022)
Fang Kong, Yichi Zhou, Shuai Li
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. ICML (2022)
Fang Kong, Junming Yin, Shuai Li
Thompson Sampling for Bandit Learning in Matching Markets. CoRR (2022)
Fang Kong, Junming Yin, Shuai Li
Thompson Sampling for Bandit Learning in Matching Markets. IJCAI (2022)
Fang Kong, Yueran Yang, Wei Chen, Shuai Li
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. NeurIPS (2021)
Fang Kong, Yueran Yang, Wei Chen, Shuai Li
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. CoRR (2021)
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
Online Influence Maximization under Linear Threshold Model. NeurIPS (2020)
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
Online Influence Maximization under Linear Threshold Model. CoRR (2020)