Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization

20 June 2020

Papers citing "Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization"

7 / 7 papers shown

Title
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance Dimitris Oikonomou Nicolas Loizou 55 4 0 06 Jun 2024
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates Siqi Zhang S. Choudhury Sebastian U. Stich Nicolas Loizou FedML 19 3 0 08 Jun 2023
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 23 18 0 04 Jun 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions S. Choudhury Eduard A. Gorbunov Nicolas Loizou 27 13 0 27 Feb 2023
An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms Binghui Xie Chen Jin Kaiwen Zhou James Cheng Wei Meng 40 1 0 28 Apr 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov Eduard A. Gorbunov Hugo Berard Nicolas Loizou 19 49 0 15 Feb 2022
Stochastic Extragradient: General Analysis and Improved Rates Eduard A. Gorbunov Hugo Berard Gauthier Gidel Nicolas Loizou 22 40 0 16 Nov 2021