Efficient Kernelized Bandit Algorithms via Exploration Distributions, Bingshan Hu, Zheng He, and Danica Sutherland, 2025
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret, Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lecuyer and Nidhi Hegde, ICML 2025
Gaussian Randomized Exploration for Semi-bandits with Sleeping Arms, Zhiming Huang, Bingshan Hu, and Jianping Pan, NeurIPS 2024 Workshop, 2024
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning under Differential Privacy, Bingshan Hu and Nishant Mehta, COLT Open Problem, 2024
Efficient and Adaptive Posterior Sampling Algorithms for Bandits, Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, and Nidhi Hegde, 2024
(Near)-Optimal Algorithms For Differentially Private Online Learning in a Stochastic Environment, Bingshan Hu, Zhiming Huang, Nishant Mehta, and Nidhi Hegde, 2024
From 6235149080811616882909238708 to 29: Vanilla Thompson Sampling Revisited, Bingshan Hu and Tianyue H. Zhang, OPT NeurIPS 2023 Workshop, 2023
Differentially Private Algorithms for Efficient Online Matroid Optimization, Kushagra Chandak, Bingshan Hu, and Nidhi Hegde, CoLLAs 2023
Optimistic Thompson Sampling-based Algorithms for Episodic Reinforcement Learning, Bingshan Hu, Tianyue H. Zhang, Nidhi Hegde, and Mark Schmidt, UAI 2023
Near-Optimal Thompson Sampling-based Algorithms for Differentially Private Stochastic Bandits, Bingshan Hu and Nidhi Hegde, UAI 2022
Problem-Dependent Regret Bounds for Online Learning with Feedback Graphs, Bingshan Hu, Nishant Mehta, and Jianping Pan, UAI 2019
Poster: Multi-agent Combinatorial Bandits with Moving Arms, Zhiming Huang, Bingshan Hu, and Jianping Pan, IEEE ICDCS 2021, Best Poster Award
Caching by User Preference with Delayed Feedback for Heterogeneous Cellular Networks, Zhiming Huang, Bingshan Hu, and Jianping Pan, IEEE Transactions on Wireless Communications (TWC), 2020
Intelligent Caching Algorithms in Heterogeneous Wireless Networks with Uncertainty, Bingshan Hu, Yunjin Chen, Zhiming Huang, Nishant Mehta, and Jianping Pan, IEEE ICDCS 2019
Intelligent Caching in Dense Small-cell Networks with Li
Background
Research interests: theoretical aspects of machine learning, particularly randomized learning algorithms for solving sequential decision-making problems. Previously a 3GPP delegate for SONY, filed around 20 patents on using unlicensed spectrum from the cellular operator's perspective and Device-to-Device communications.