Shaofeng Zou

Minimax Optimal Adversarial Reinforcement Learning

LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy Control

Distributionally Robust Bayesian Optimization: From Single to Multiple Objectives

MGDA Converges under Generalized Smoothness, Provably

Revisiting Large-Scale Non-convex Distributionally Robust Optimization

Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning

Independently-Normalized SGD for Generalized-Smooth Nonconvex Optimization