Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zheng, Yuping, Lamperski, Andrew
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.02735