Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization

7 January 2021

Papers citing "Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization"

6 / 6 papers shown

Title
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance Dimitris Oikonomou Nicolas Loizou 55 4 0 06 Jun 2024
MoMo: Momentum Models for Adaptive Learning Rates Fabian Schaipp Ruben Ohana Michael Eickenberg Aaron Defazio Robert Mansel Gower 35 10 0 12 May 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan P. Li 36 2 0 09 Jan 2023
Private optimization in the interpolation regime: faster rates and hardness results Hilal Asi Karan N. Chadha Gary Cheng John C. Duchi 47 5 0 31 Oct 2022
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum J. Kim Panos Toulis Anastasios Kyrillidis 26 8 0 11 Nov 2021
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010