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ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full
Gradient Computation

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ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation

2 March 2021

Slavomír Hanzely

Peter Richtárik

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Papers citing "ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation"

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Title
Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling Daniil Medyakov Gleb Molodtsov S. Chezhegov Alexey Rebrikov Aleksandr Beznosikov 229 0 0 21 Feb 2025
A Coefficient Makes SVRG Effective Yida Yin Zhiqiu Xu Zhiyuan Li Trevor Darrell Zhuang Liu 131 2 0 09 Nov 2023
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features Aleksandr Beznosikov David Dobre Gauthier Gidel 121 6 0 23 Apr 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems Hongchang Gao 164 17 0 06 Dec 2022
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning Kazusato Oko Shunta Akiyama Tomoya Murata Taiji Suzuki FedML 120 0 0 01 Sep 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization Zhize Li Jian Li 147 8 0 22 Aug 2022
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization Pourya Behmandpoor P. Latafat Andreas Themelis Marc Moonen Panagiotis Patrinos 129 2 0 17 Jul 2022
Stochastic Gradient Methods with Preconditioned Updates Abdurakhmon Sadiev Aleksandr Beznosikov Abdulla Jasem Almansoori Dmitry Kamzolov R. Tappenden Martin Takáč ODL 129 11 0 01 Jun 2022
Faster Rates for Compressed Federated Learning with Client-Variance Reduction Haoyu Zhao Konstantin Burlachenko Zhize Li Peter Richtárik FedML 172 16 0 24 Dec 2021
Random-reshuffled SARAH does not need a full gradient computations Aleksandr Beznosikov Martin Takáč 129 9 0 26 Nov 2021
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method Zhize Li 173 16 0 21 Mar 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li Hongyan Bao Xiangliang Zhang Peter Richtárik ODL 196 139 0 25 Aug 2020