ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.01561
  4. Cited By
Optimal rates of approximation by shallow ReLU$^k$ neural networks and
  applications to nonparametric regression

Optimal rates of approximation by shallow ReLUk^kk neural networks and applications to nonparametric regression

4 April 2023
Yunfei Yang
Ding-Xuan Zhou
ArXivPDFHTML

Papers citing "Optimal rates of approximation by shallow ReLU$^k$ neural networks and applications to nonparametric regression"

14 / 14 papers shown
Title
ReLU integral probability metric and its applications
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
48
0
0
26 Apr 2025
On the optimal approximation of Sobolev and Besov functions using deep
  ReLU neural networks
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
Yunfei Yang
62
2
0
02 Sep 2024
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
Luwei Sun
Dongrui Shen
Han Feng
40
2
0
16 Jul 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural
  Networks
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
82
2
0
29 Apr 2024
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of
  Experts
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios
Haitz Sáez de Ocáriz Borde
Takashi Furuya
Marc T. Law
MoE
41
1
0
05 Feb 2024
Expressivity and Approximation Properties of Deep Neural Networks with
  ReLU$^k$ Activation
Expressivity and Approximation Properties of Deep Neural Networks with ReLUk^kk Activation
Juncai He
Tong Mao
Jinchao Xu
37
3
0
27 Dec 2023
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Jonathan W. Siegel
45
7
0
28 Jul 2023
Learning Ability of Interpolating Deep Convolutional Neural Networks
Learning Ability of Interpolating Deep Convolutional Neural Networks
Tiancong Zhou
X. Huo
AI4CE
33
13
0
25 Oct 2022
Approximation bounds for norm constrained neural networks with
  applications to regression and GANs
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Yuling Jiao
Yang Wang
Yunfei Yang
36
19
0
24 Jan 2022
Understanding neural networks with reproducing kernel Banach spaces
Understanding neural networks with reproducing kernel Banach spaces
Francesca Bartolucci
E. De Vito
Lorenzo Rosasco
S. Vigogna
44
50
0
20 Sep 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi
Robert D. Nowak
53
38
0
18 Sep 2021
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Zhiying Fang
Han Feng
Shuo Huang
Ding-Xuan Zhou
40
37
0
28 Jul 2020
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 ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
130
142
0
26 Jul 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
1