General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization

General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization

Abstract In this paper, motivated by the competitive performance of the proximal stochastic variance reduction gradient (Prox-SVRG) method, a novel general inertial Prox-SVRG (GIProx-SVRG) algorithm is proposed for solving a class of nonconvex finite sum problems. More precisely, Nesterov’s momentum...

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Bibliographic Details
Main Authors: Shuya Sun, Lulu He
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:Journal of Inequalities and Applications
Subjects:
Finite sum optimization
Nonconvex optimization
Stochastic variance reduction gradient
Inertial proximal gradient
Online Access:https://doi.org/10.1186/s13660-023-02922-4

Internet

https://doi.org/10.1186/s13660-023-02922-4

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