Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization

7 June 2022

Papers citing "Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization"

4 / 4 papers shown

Title
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications Jie Hu Vishwaraj Doshi Do Young Eun 66 4 0 17 Jan 2024
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation Aniket Das Dheeraj M. Nagaraj 54 7 0 27 May 2023
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization Hanseul Cho Chulhee Yun 37 9 0 12 Oct 2022
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 91 0 19 Apr 2021