Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration

Author:

Mei Song,Misiakiewicz Theodor,Montanari AndreaORCID

Funder

National Science Foundation

Office of Naval Research

Simons Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference46 articles.

1. Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks;Arora,2019

2. Fast randomized kernel ridge regression with statistical guarantees;El Alaoui;Adv. Neural Inf. Process. Syst.,2015

3. Learning and generalization in overparameterized neural networks, going beyond two layers;Allen-Zhu;Adv. Neural Inf. Process. Syst.,2019

4. A convergence theory for deep learning via over-parameterization;Allen-Zhu,2019

5. Sharp analysis of low-rank kernel matrix approximations;Bach,2013

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