Scholar
Bingshan Hu
Google Scholar ID: GZ0b6QgAAAAJ
Data Science Institute at University of British Columbia
Citations & Impact
Citations
211
H-index
9
i10-index
9
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- 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.