Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient

26 July 2021

Papers citing "Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient"

4 / 4 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 44 1 0 15 Jan 2024
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications Antoine Godichon-Baggioni Pierre Tarrago 27 5 0 01 Mar 2023
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data Antoine Godichon-Baggioni Nicklas Werge Olivier Wintenberger 25 7 0 15 Sep 2021
A Simple Convergence Proof of Adam and Adagrad Alexandre Défossez Léon Bottou Francis R. Bach Nicolas Usunier 56 146 0 05 Mar 2020