Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization

31 May 2020

Papers citing "Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization"

5 / 5 papers shown

Title
Non-Convex Stochastic Composite Optimization with Polyak Momentum Yuan Gao Anton Rodomanov Sebastian U. Stich 39 6 0 05 Mar 2024
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 20 8 0 14 Jul 2023
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization Zichong Li Pinzhuo Chen Sijia Liu Songtao Lu Yangyang Xu 35 17 0 19 Dec 2022
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers Robin M. Schmidt Frank Schneider Philipp Hennig ODL 40 162 0 03 Jul 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,892 0 15 Sep 2016