Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains

20 July 2017

Papers citing "Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains"

9 / 9 papers shown

Title
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 141 1 0 28 Jan 2025
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning R. Srikant 77 6 0 28 Jan 2024
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 55 2 0 20 Feb 2023
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias Lu Yu Krishnakumar Balasubramanian S. Volgushev Murat A. Erdogdu 79 50 0 14 Jun 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares Alnur Ali Yan Sun Robert Tibshirani 61 77 0 17 Mar 2020
Asymptotic Bias of Stochastic Gradient Search V. Tadic Arnaud Doucet 36 59 0 30 Aug 2017
Statistical Inference for Model Parameters in Stochastic Gradient Descent Xi Chen Jason D. Lee Xin T. Tong Yichen Zhang 51 138 0 27 Oct 2016
A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Matthew D. Hoffman David M. Blei 44 157 0 08 Feb 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 141 573 0 08 Dec 2012