8 citations · 8 across the 3 of their papers we have counts for
3 papers
math.OC2025
Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
Dongxuan Zhu, Weihuan Huang, Caihua Chen
We develop an adaptive Nesterov accelerated proximal gradient (adaNAPG) algorithm for stochastic composite optimization problems, boosting the Nesterov accelerated proximal gradien…
math.OC2024
Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU
Qiushi Han, Zhenwei Lin, Hanwen Liu +4
In this paper, we address a long-standing challenge: how to achieve both efficiency and scalability in solving semidefinite programming problems. We propose breakthrough accelerati…
math.OC2014★ 8 cited
A general inertial proximal point method for mixed variational inequality problem
Caihua Chen, Shiqian Ma, Junfeng Yang
In this paper, we first propose a general inertial proximal point method for the mixed variational inequality (VI) problem. Based on our knowledge, without stronger assumptions, co…