2 papers
cs.LG2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to -Level Stochastic Optimizations
Xiaokang Pan, Xingyu Li, Jin Liu +4
STOchastic Recursive Momentum (STORM)-based algorithms have been widely developed to solve one to -level () stochastic optimization problems. Specifically, they use es…
cs.LG2023
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan +3
This paper delves into the realm of stochastic optimization for compositional minimax optimization - a pivotal challenge across various machine learning domains, including deep AUC…