Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

29 April 2024

Papers citing "Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks"

11 / 11 papers shown

Title
Which Spaces can be Embedded in $L_p$ -type Reproducing Kernel Banach Space? A Characterization via Metric Entropy Yiping Lu Daozhe Lin Qiang Du 24 0 0 14 Oct 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini Denny Wu Murat A. Erdogdu MLT AI4CE 27 6 0 14 Aug 2024
Which Spaces can be Embedded in Reproducing Kernel Hilbert Spaces? Max Scholpple Ingo Steinwart 18 3 0 22 Dec 2023
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 51 30 0 02 Feb 2022
Tight bounds for minimum l1-norm interpolation of noisy data Guillaume Wang Konstantin Donhauser Fanny Yang 75 20 0 10 Nov 2021
Foolish Crowds Support Benign Overfitting Niladri S. Chatterji Philip M. Long 76 20 0 06 Oct 2021
Understanding neural networks with reproducing kernel Banach spaces Francesca Bartolucci E. De Vito Lorenzo Rosasco S. Vigogna 39 48 0 20 Sep 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks Rahul Parhi Robert D. Nowak 46 37 0 18 Sep 2021
$Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with $ \ell^1 $ and $ \ell^0 $ Controls$ Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with $\ell^1$ and $\ell^0$ Controls Jason M. Klusowski Andrew R. Barron 108 142 0 26 Jul 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 551 0 27 Feb 2015
Elastic-Net Regularization in Learning Theory C. D. Mol E. De Vito Lorenzo Rosasco OOD CML 102 303 0 22 Jul 2008