Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems

27 June 2020

Papers citing "Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems"

3 / 3 papers shown

Title
Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis Quoc Tran-Dinh Marten van Dijk 14 0 0 19 Dec 2022
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems Hongchang Gao 13 16 0 06 Dec 2022
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 22 172 0 18 Dec 2020