The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof

26 March 2021

Papers citing "The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof"

6 / 6 papers shown

Title
Optimal time sampling in physics-informed neural networks Gabriel Turinici PINN 48 1 0 29 Apr 2024
Learning Continually on a Sequence of Graphs -- The Dynamical System Way Krishnan Raghavan Prasanna Balaprakash 43 0 0 19 May 2023
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis Mohsen Amidzadeh 29 0 0 08 Feb 2023
Prediction intervals for neural network models using weighted asymmetric loss functions Milo Grillo Yunpeng Han A. Werpachowska 13 1 0 09 Oct 2022
Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent Martin Burger Alex Rossi 32 1 0 01 Jul 2022
A Bregman Learning Framework for Sparse Neural Networks Leon Bungert Tim Roith Daniel Tenbrinck Martin Burger 29 17 0 10 May 2021