Author

I. Kevrekidis

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#machine learning Preprint Sep 2026

A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay

A broad class of neural networks trained under the $\ell^2$ loss by gradient descent with weight decay with weight decay is studied, and the convergence of GD to a neighbourhood of the global minimizers of the empirical loss is proved.

Yu-Qing Wang, I. Kevrekidis, Mikhail Belkin · 1 citation