Random gradient extrapolation for distributed and stochastic optimization

15 November 2017

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

12 / 12 papers shown

Title
A simple uniformly optimal method without line search for convex optimization Tianjiao Li Guanghui Lan 28 20 0 16 Oct 2023
Federated Multi-Level Optimization over Decentralized Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang AI4CE 28 0 0 10 Oct 2023
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 40 42 0 22 Jun 2022
Perseus: A Simple and Optimal High-Order Method for Variational Inequalities Tianyi Lin Michael I. Jordan 35 10 0 06 May 2022
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method Zhize Li 48 14 0 21 Mar 2021
Optimal Algorithms for Convex Nested Stochastic Composite Optimization Zhe Zhang Guanghui Lan 32 28 0 19 Nov 2020
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li Hongyan Bao Xiangliang Zhang Peter Richtárik ODL 36 126 0 25 Aug 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song Yong Jiang Yi Ma 53 23 0 18 Jun 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 34 44 0 25 Jan 2019
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization Zhize Li Jian Li 39 116 0 13 Feb 2018
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 184 683 0 07 Dec 2010