ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite
Nonconvex Optimization

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

15 February 2019

Papers citing "ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization"

13 / 13 papers shown

Title
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization Tesi Xiao Xuxing Chen Krishnakumar Balasubramanian Saeed Ghadimi 21 10 0 20 Feb 2023
Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization G. Fort Eric Moulines 35 6 0 02 Jan 2023
Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis Quoc Tran-Dinh Marten van Dijk 14 0 0 19 Dec 2022
Stochastic Gradient Methods with Preconditioned Updates Abdurakhmon Sadiev Aleksandr Beznosikov Abdulla Jasem Almansoori Dmitry Kamzolov R. Tappenden Martin Takáč ODL 19 9 0 01 Jun 2022
A Novel Convergence Analysis for Algorithms of the Adam Family Zhishuai Guo Yi Tian Xu W. Yin R. L. Jin Tianbao Yang 31 46 0 07 Dec 2021
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima Zixiang Chen Dongruo Zhou Quanquan Gu 18 1 0 25 Oct 2021
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method Zhize Li 23 14 0 21 Mar 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li Hongyan Bao Xiangliang Zhang Peter Richtárik ODL 12 124 0 25 Aug 2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning Bin Gu An Xu Zhouyuan Huo Cheng Deng Heng-Chiao Huang FedML 18 27 0 14 Aug 2020
A Unified Convergence Analysis for Shuffling-Type Gradient Methods Lam M. Nguyen Quoc Tran-Dinh Dzung Phan Phuong Ha Nguyen Marten van Dijk 12 77 0 19 Feb 2020
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Digvijay Boob Qi Deng Guanghui Lan 37 92 0 07 Aug 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014