On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression

9 June 2016

Papers citing "On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression"

5 / 5 papers shown

Title
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms Antoine Godichon-Baggioni Wei Lu Bruno Portier 49 1 0 15 Jan 2024
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks Shi Pu 29 38 0 31 Mar 2020
A Distributed Stochastic Gradient Tracking Method Shi Pu A. Nedić 29 60 0 21 Mar 2018
Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective Antoine Godichon-Baggioni 9 17 0 18 Sep 2016
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark Schmidt Francis R. Bach 128 259 0 10 Dec 2012