Global Convergence and Stability of Stochastic Gradient Descent

4 October 2021

Papers citing "Global Convergence and Stability of Stochastic Gradient Descent"

5 / 5 papers shown

Title
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks Vivak Patel Christian Varner 26 0 0 20 Sep 2024
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm Jinwei Zhao Marco Gori Alessandro Betti S. Melacci Hongtao Zhang Jiedong Liu Xinhong Hei 30 0 0 10 Sep 2024
A Novel Gradient Methodology with Economical Objective Function Evaluations for Data Science Applications Christian Varner Vivak Patel 21 2 0 19 Sep 2023
Distributed Stochastic Optimization under a General Variance Condition Kun-Yen Huang Xiao Li Shin-Yi Pu FedML 40 6 0 30 Jan 2023
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima Tae-Eon Ko Xiantao Li 20 2 0 21 Mar 2022