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2304.01561
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Optimal rates of approximation by shallow ReLU
k
^k
k
neural networks and applications to nonparametric regression
4 April 2023
Yunfei Yang
Ding-Xuan Zhou
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Papers citing
"Optimal rates of approximation by shallow ReLU$^k$ neural networks and applications to nonparametric regression"
12 / 12 papers shown
Title
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
34
0
0
26 Apr 2025
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
Yunfei Yang
24
2
0
02 Sep 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
61
2
0
29 Apr 2024
Expressivity and Approximation Properties of Deep Neural Networks with ReLU
k
^k
k
Activation
Juncai He
Tong Mao
Jinchao Xu
22
3
0
27 Dec 2023
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Jonathan W. Siegel
32
7
0
28 Jul 2023
Learning Ability of Interpolating Deep Convolutional Neural Networks
Tiancong Zhou
X. Huo
AI4CE
19
13
0
25 Oct 2022
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Yuling Jiao
Yang Wang
Yunfei Yang
26
18
0
24 Jan 2022
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
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Zhiying Fang
Han Feng
Shuo Huang
Ding-Xuan Zhou
26
37
0
28 Jul 2020
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with
ℓ
1
\ell^1
ℓ
1
and
ℓ
0
\ell^0
ℓ
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
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