The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schliserman, Matan, Sherman, Uri, Koren, Tomer
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2401.12058