Random gradient extrapolation for distributed and stochastic optimization

15 November 2017

Papers citing "Random gradient extrapolation for distributed and stochastic optimization"

14 / 14 papers shown

Title
A simple uniformly optimal method without line search for convex optimization Tianjiao Li Guanghui Lan 105 25 0 16 Oct 2023
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization Zhize Li Jian Li 104 6 0 22 Aug 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 79 45 0 22 Jun 2022
Perseus: A Simple and Optimal High-Order Method for Variational Inequalities Tianyi Lin Michael I. Jordan 114 11 0 06 May 2022
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method Zhize Li 113 14 0 21 Mar 2021
Optimal Algorithms for Convex Nested Stochastic Composite Optimization Zhe Zhang Guanghui Lan 108 30 0 19 Nov 2020
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li Hongyan Bao Xiangliang Zhang Peter Richtárik ODL 93 130 0 25 Aug 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song Yong Jiang Yi-An Ma 130 23 0 18 Jun 2020
A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization Zhize Li Peter Richtárik FedML 93 36 0 12 Jun 2020
A Generic Acceleration Framework for Stochastic Composite Optimization A. Kulunchakov Julien Mairal 105 43 0 03 Jun 2019
A unified variance-reduced accelerated gradient method for convex optimization Guanghui Lan Zhize Li Yi Zhou 60 61 0 29 May 2019
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 88 45 0 25 Jan 2019
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization Zhize Li Jian Li 63 19 0 07 Sep 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization Zhize Li Jian Li 99 116 0 13 Feb 2018