Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning. - Bingshan Hu; Tianyue H. Zhang; Nidhi Hegde 001; Mark Schmidt 001 (UAI, 2023)

On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization. - Motahareh Sohrabi; Juan Ramirez; Tianyue H. Zhang; Simon Lacoste-Julien; Jose Gallego-Posada (ICML, 2024)

Efficient and Adaptive Posterior Sampling Algorithms for Bandits. - Bingshan Hu; Zhiming Huang 002; Tianyue H. Zhang; Mathias Lécuyer; Nidhi Hegde 001 (CoRR, 2024)

Understanding Adam Requires Better Rotation Dependent Assumptions. - Lucas Maes; Tianyue H. Zhang; Alexia Jolicoeur-Martineau; Ioannis Mitliagkas; Damien Scieur; Simon Lacoste-Julien; Charles Guille-Escuret (CoRR, 2024)

Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret. - Bingshan Hu; Zhiming Huang 002; Tianyue H. Zhang; Mathias Lécuyer; Nidhi Hegde 001 (CoRR, 2025)