5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Efficient and Adaptive Posterior Sampling Algorithms for Bandits
Bingshan Hu, Zhiming Huang, Tianyue H. Zhang +2
We study Thompson Sampling-based algorithms for stochastic bandits with bounded rewards. As the existing problem-dependent regret bound for Thompson Sampling with Gaussian priors […
cs.LG2020★ 5 cited
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints
Zhiming Huang, Yifan Xu, Bingshan Hu +2
We study the combinatorial sleeping multi-armed semi-bandit problem with long-term fairness constraints~(CSMAB-F). To address the problem, we adopt Thompson Sampling~(TS) to maximi…