Zhang, Tianyue H.

9 publications

ICML 2025 Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza, Tianyue H. Zhang, Laurent Charlin, Mateo Espinosa Zarlenga

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

ICLRW 2025 Preference Optimization for Concept Bottleneck Models Emiliano Penaloza, Tianyue H. Zhang, Laurent Charlin, Mateo Espinosa Zarlenga

NeurIPS 2025 Understanding Adam Requires Better Rotation Dependent Assumptions Tianyue H. Zhang, Lucas Maes, Alan Milligan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret

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

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

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

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