Gaussian random field approximation via Stein's method with applications to wide random neural networks

Author:

Balasubramanian KrishnakumarORCID,Goldstein Larry,Ross Nathan,Salim Adil

Funder

National Science Foundation

Publisher

Elsevier BV

Reference64 articles.

1. The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks;Abbe,2022

2. Random Fields and Geometry, vol. 80;Adler,2007

3. On Stein's method for multivariate self-decomposable laws;Arras;Electron. J. Probab.,2019

4. On some operators associated with non-degenerate symmetric α-stable probability measures;Arras;Potential Anal.,2022

5. High-dimensional asymptotics of feature learning: how one gradient step improves the representation;Ba,2022

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