Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective

18 September 2016

Papers citing "Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective"

6 / 6 papers shown

Title
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations Antoine Godichon-Baggioni Nicklas Werge ODL 40 3 0 29 Nov 2023
On Almost Sure Convergence Rates of Stochastic Gradient Methods Jun Liu Ye Yuan 21 36 0 09 Feb 2022
Non-Asymptotic Analysis of Online Multiplicative Stochastic Gradient Descent Riddhiman Bhattacharya Tiefeng Jiang 16 0 0 14 Dec 2021
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data Antoine Godichon-Baggioni Nicklas Werge Olivier Wintenberger 25 7 0 15 Sep 2021
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures Bernard Bercu Jérémie Bigot 16 19 0 21 Dec 2018
Semiparametrically efficient rank-based inference for shape II. Optimal R-estimation of shape Marc Hallin H. Oja D. Paindaveine 108 99 0 01 Aug 2007