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Nonlinear Approximation via Compositions

Nonlinear Approximation via Compositions

26 February 2019
Zuowei Shen
Haizhao Yang
Shijun Zhang
ArXivPDFHTML

Papers citing "Nonlinear Approximation via Compositions"

14 / 14 papers shown
Title
Deep learning with missing data
Deep learning with missing data
Tianyi Ma
Tengyao Wang
R. Samworth
59
0
0
21 Apr 2025
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks
Xuran Meng
Yi Li
BDL
25
0
0
12 Apr 2025
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Yuwen Li
Guozhi Zhang
41
1
0
20 Jan 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
59
2
0
02 Sep 2024
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural
  Network Derivatives
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
Yahong Yang
Haizhao Yang
Yang Xiang
24
19
0
15 May 2023
Approximation results for Gradient Descent trained Shallow Neural
  Networks in $1d$
Approximation results for Gradient Descent trained Shallow Neural Networks in 1d1d1d
R. Gentile
G. Welper
ODL
44
6
0
17 Sep 2022
Robust Nonparametric Regression with Deep Neural Networks
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
OOD
31
13
0
21 Jul 2021
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
101
115
0
28 Feb 2021
Two-Layer Neural Networks for Partial Differential Equations:
  Optimization and Generalization Theory
Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory
Tao Luo
Haizhao Yang
16
73
0
28 Jun 2020
Approximation in shift-invariant spaces with deep ReLU neural networks
Approximation in shift-invariant spaces with deep ReLU neural networks
Yunfei Yang
Zhen Li
Yang Wang
18
14
0
25 May 2020
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with
  Swarm Intelligence
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
Rohan Mohapatra
Snehanshu Saha
C. Coello
Anwesh Bhattacharya
S. Dhavala
S. Saha
ODL
13
21
0
19 May 2020
Deep Network Approximation for Smooth Functions
Deep Network Approximation for Smooth Functions
Jianfeng Lu
Zuowei Shen
Haizhao Yang
Shijun Zhang
35
247
0
09 Jan 2020
A Review on Deep Learning in Medical Image Reconstruction
A Review on Deep Learning in Medical Image Reconstruction
Hai-Miao Zhang
Bin Dong
MedIm
27
122
0
23 Jun 2019
Deep Network Approximation Characterized by Number of Neurons
Deep Network Approximation Characterized by Number of Neurons
Zuowei Shen
Haizhao Yang
Shijun Zhang
18
182
0
13 Jun 2019
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