Jin Liu

collaborators

Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$ -Level Stochastic Optimizations

Xiaokang Pan, Xingyu Li, Jin Liu +4

STOchastic Recursive Momentum (STORM)-based algorithms have been widely developed to solve one to $K$ -level ( $K \geq 3$ ) 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…

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$ -Level Stochastic Optimizations