Stochastic Learning under Random Reshuffling with Constant Step-sizes

21 March 2018

Papers citing "Stochastic Learning under Random Reshuffling with Constant Step-sizes"

10 / 10 papers shown

Title
Distributed Random Reshuffling Methods with Improved Convergence Kun-Yen Huang Linli Zhou Shi Pu 29 4 0 21 Jun 2023
Federated Random Reshuffling with Compression and Variance Reduction Grigory Malinovsky Peter Richtárik FedML 36 10 0 08 May 2022
Distributed Random Reshuffling over Networks Kun-Yen Huang Xiao Li Andre Milzarek Shi Pu Junwen Qiu 43 11 0 31 Dec 2021
Random-reshuffled SARAH does not need a full gradient computations Aleksandr Beznosikov Martin Takáč 31 7 0 26 Nov 2021
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems Itay Safran Ohad Shamir 33 19 0 12 Jun 2021
Incremental Without Replacement Sampling in Nonconvex Optimization Edouard Pauwels 38 5 0 15 Jul 2020
Random Reshuffling: Simple Analysis with Vast Improvements Konstantin Mishchenko Ahmed Khaled Peter Richtárik 42 131 0 10 Jun 2020
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG Ran Xin U. Khan S. Kar 26 8 0 08 Oct 2019
How Good is SGD with Random Shuffling? Itay Safran Ohad Shamir 25 80 0 31 Jul 2019
On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning Adel M. Elmahdy S. Mohajer FedML 21 15 0 11 Jul 2018