2 papers
math.OC2024
A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
Yuxuan Zeng, Jianchao Bai, Shengjia Wang +1
In this paper, we propose a unified framework of inexact stochastic Alternating Direction Method of Multipliers (ADMM) for solving nonconvex problems subject to linear constraints,…
math.OC2023
An Accelerated Stochastic ADMM for Nonconvex and Nonsmooth Finite-Sum Optimization
Yuxuan Zeng, Zhiguo Wang, Jianchao Bai +1
The nonconvex and nonsmooth finite-sum optimization problem with linear constraint has attracted much attention in the fields of artificial intelligence, computer, and mathematics,…