Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks

7 February 2024

Papers citing "Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks"

5 / 5 papers shown

Title
Sharp higher order convergence rates for the Adam optimizer Steffen Dereich Arnulf Jentzen Adrian Riekert ODL 61 0 0 28 Apr 2025
Non-convergence to the optimal risk for Adam and stochastic gradient descent optimization in the training of deep neural networks Thang Do Arnulf Jentzen Adrian Riekert 56 1 0 03 Mar 2025
Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$ R. Gentile G. Welper ODL 25 6 0 17 Sep 2022
A Simple Convergence Proof of Adam and Adagrad Alexandre Défossez Léon Bottou Francis R. Bach Nicolas Usunier 56 143 0 05 Mar 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,198 0 16 Aug 2016