Hu, Bingshan

8 publications

ICML 2025 Connecting Thompson Sampling and UCB: Towards More Efficient Trade-Offs Between Privacy and Regret Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde

NeurIPSW 2024 Gaussian Randomized Exploration for Semi-Bandits with Sleeping Arms Zhiming Huang, Bingshan Hu, Jianping Pan

COLT 2024 Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy Bingshan Hu, Nishant A. Mehta

CoLLAs 2023 Differentially Private Algorithms for Efficient Online Matroid Optimization Kushagra Chandak, Bingshan Hu, Nidhi Hegde

NeurIPSW 2023 From 6235149080811616882909238708 to 29: Vanilla Thompson Sampling Revisited Bingshan Hu, Tianyue H. Zhang

UAI 2023 Optimistic Thompson Sampling-Based Algorithms for Episodic Reinforcement Learning Bingshan Hu, Tianyue H. Zhang, Nidhi Hegde, Mark Schmidt

UAI 2022 Near-Optimal Thompson Sampling-Based Algorithms for Differentially Private Stochastic Bandits Bingshan Hu, Nidhi Hegde

UAI 2019 Problem-Dependent Regret Bounds for Online Learning with Feedback Graphs Bingshan Hu, Nishant A. Mehta, Jianping Pan