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On the rates of convergence for learning with convolutional neural
  networks

On the rates of convergence for learning with convolutional neural networks

25 March 2024
Yunfei Yang
Han Feng
Ding-Xuan Zhou
ArXivPDFHTML

Papers citing "On the rates of convergence for learning with convolutional neural networks"

14 / 14 papers shown
Title
Classification with Deep Neural Networks and Logistic Loss
Classification with Deep Neural Networks and Logistic Loss
Zihan Zhang
Lei Shi
Ding-Xuan Zhou
55
16
0
31 Jul 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
270
7
0
28 Jul 2023
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
50
20
0
24 Jan 2022
Convergence rates of deep ReLU networks for multiclass classification
Convergence rates of deep ReLU networks for multiclass classification
Thijs Bos
Johannes Schmidt-Hieber
55
22
0
02 Aug 2021
Characterization of the Variation Spaces Corresponding to Shallow Neural
  Networks
Characterization of the Variation Spaces Corresponding to Shallow Neural Networks
Jonathan W. Siegel
Jinchao Xu
108
43
0
28 Jun 2021
Universal Consistency of Deep Convolutional Neural Networks
Universal Consistency of Deep Convolutional Neural Networks
Shao-Bo Lin
Kaidong Wang
Yao Wang
Ding-Xuan Zhou
52
23
0
23 Jun 2021
Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$-widths
  of Shallow Neural Networks
Sharp Bounds on the Approximation Rates, Metric Entropy, and nnn-widths of Shallow Neural Networks
Jonathan W. Siegel
Jinchao Xu
115
87
0
29 Jan 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
76
37
0
28 Jul 2020
Deep Network Approximation for Smooth Functions
Deep Network Approximation for Smooth Functions
Jianfeng Lu
Zuowei Shen
Haizhao Yang
Shijun Zhang
97
247
0
09 Jan 2020
Universality of Deep Convolutional Neural Networks
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
HAI
PINN
412
514
0
28 May 2018
Optimal approximation of continuous functions by very deep ReLU networks
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
176
293
0
10 Feb 2018
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
220
810
0
22 Aug 2017
Fast learning rates for plug-in classifiers
Fast learning rates for plug-in classifiers
Jean-Yves Audibert
Alexandre B. Tsybakov
545
465
0
17 Aug 2007
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
280
284
0
14 Aug 2007
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