Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality

13 July 2023

Papers citing "Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality"

5 / 5 papers shown

Title
Sharp Gaussian approximations for Decentralized Federated Learning Soham Bonnerjee Sayar Karmakar W. Wu FedML 24 0 0 12 May 2025
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize Tong Zhang Chris Junchi Li 36 0 0 15 Jul 2024
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization Wanrong Zhu Zhipeng Lou Ziyang Wei W. Wu 30 1 0 17 Jan 2024
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark W. Schmidt Francis R. Bach 121 259 0 10 Dec 2012
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 99 570 0 08 Dec 2012