2 papers
math.OC2025
A Stochastic Gradient Descent Method for Globally Minimizing Nearly Convex Functions
Chenglong Bao, Liang Chen, Weizhi Shao
This paper proposes a stochastic gradient descent method with an adaptive Gaussian noise term for the global minimization of nearly convex functions, which are nonconvex and posses…
math.OC2025
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
Chenglong Bao, Liang Chen, Jiahong Li +1
Gradient restarting has been shown to improve the numerical performance of accelerated gradient methods. This paper provides a mathematical analysis to understand these advantages.…