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2410.14591
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A Lipschitz spaces view of infinitely wide shallow neural networks
18 October 2024
Francesca Bartolucci
Marcello Carioni
José A. Iglesias
Yury Korolev
Emanuele Naldi
Stefano Vigogna
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Papers citing
"A Lipschitz spaces view of infinitely wide shallow neural networks"
13 / 13 papers shown
Title
Embeddings between Barron spaces with higher order activation functions
T. J. Heeringa
L. Spek
Felix L. Schwenninger
C. Brune
75
3
0
25 May 2023
Duality for Neural Networks through Reproducing Kernel Banach Spaces
L. Spek
T. J. Heeringa
Felix L. Schwenninger
C. Brune
76
13
0
09 Nov 2022
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
Rahul Parhi
Robert D. Nowak
MLT
62
71
0
07 May 2021
Two-layer neural networks with values in a Banach space
Yury Korolev
58
24
0
05 May 2021
Convex regularization in statistical inverse learning problems
T. Bubba
Martin Burger
T. Helin
Luca Ratti
32
9
0
18 Feb 2021
Deep Equals Shallow for ReLU Networks in Kernel Regimes
A. Bietti
Francis R. Bach
63
90
0
30 Sep 2020
Representation Transfer by Optimal Transport
Xuhong Li
Yves Grandvalet
Rémi Flamary
Nicolas Courty
Dejing Dou
OT
54
8
0
13 Jul 2020
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani
Song Mei
Theodor Misiakiewicz
Andrea Montanari
86
188
0
24 Jun 2020
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
129
606
0
04 Dec 2019
Model Fusion via Optimal Transport
Sidak Pal Singh
Martin Jaggi
MoMe
FedML
101
234
0
12 Oct 2019
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
227
1,647
0
28 Dec 2018
Deep Neural Networks as Gaussian Processes
Jaehoon Lee
Yasaman Bahri
Roman Novak
S. Schoenholz
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
UQCV
BDL
118
1,093
0
01 Nov 2017
Optimal Rates For Regularization Of Statistical Inverse Learning Problems
Gilles Blanchard
Nicole Mücke
449
143
0
14 Apr 2016
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