3 papers
cs.LG2024
Towards Sharper Risk Bounds for Minimax Problems
Bowei Zhu, Shaojie Li, Yong Liu
Minimax problems have achieved success in machine learning such as adversarial training, robust optimization, reinforcement learning. For theoretical analysis, current optimal exce…
cs.LG2024
Stability and Sharper Risk Bounds with Convergence Rate
Bowei Zhu, Shaojie Li, Mingyang Yi +1
Prior work (Klochkov Zhivotovskiy, 2021) establishes at most excess risk bounds via algorithmic stability for strongly-convex learners with high pro…
cs.LG2021
Learning Rates for Nonconvex Pairwise Learning
Shaojie Li, Yong Liu
Pairwise learning is receiving increasing attention since it covers many important machine learning tasks, e.g., metric learning, AUC maximization, and ranking. Investigating the g…