Random Reshuffling with Variance Reduction: New Analysis and Better Rates

19 April 2021

Papers citing "Random Reshuffling with Variance Reduction: New Analysis and Better Rates"

7 / 7 papers shown

Title
Random Reshuffling: Simple Analysis with Vast Improvements Konstantin Mishchenko Ahmed Khaled Peter Richtárik 58 131 0 10 Jun 2020
A Unified Convergence Analysis for Shuffling-Type Gradient Methods Lam M. Nguyen Quoc Tran-Dinh Dzung Phan Phuong Ha Nguyen Marten van Dijk 63 78 0 19 Feb 2020
SGD without Replacement: Sharper Rates for General Smooth Convex Functions Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli 43 87 0 04 Mar 2019
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop D. Kovalev Samuel Horváth Peter Richtárik 65 156 0 24 Jan 2019
Stochastic Learning under Random Reshuffling with Constant Step-sizes Bicheng Ying Kun Yuan Stefan Vlaski Ali H. Sayed 40 36 0 21 Mar 2018
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 97 1,817 0 01 Jul 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 129 2,195 0 24 Jun 2012