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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

26 July 2016
Jason M. Klusowski
Andrew R. Barron
ArXivPDFHTML

Papers citing "Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with $ \ell^1 $ and $ \ell^0 $ Controls"

30 / 30 papers shown
Title
Approximation Rate of the Transformer Architecture for Sequence Modeling
Approximation Rate of the Transformer Architecture for Sequence Modeling
Hao Jiang
Qianxiao Li
48
9
0
03 Jan 2025
Golden Ratio-Based Sufficient Dimension Reduction
Golden Ratio-Based Sufficient Dimension Reduction
Wenjing Yang
Yuhong Yang
28
0
0
25 Oct 2024
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANs
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
37
9
0
02 Oct 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
74
2
0
29 Apr 2024
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Akshay Kumar
Jarvis D. Haupt
ODL
44
3
0
12 Mar 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
34
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
43
7
0
28 Jul 2023
Rates of Approximation by ReLU Shallow Neural Networks
Rates of Approximation by ReLU Shallow Neural Networks
Tong Mao
Ding-Xuan Zhou
21
19
0
24 Jul 2023
Approximation of Nonlinear Functionals Using Deep ReLU Networks
Approximation of Nonlinear Functionals Using Deep ReLU Networks
Linhao Song
Jun Fan
Dirong Chen
Ding-Xuan Zhou
13
14
0
10 Apr 2023
Convolutional neural networks for valid and efficient causal inference
Convolutional neural networks for valid and efficient causal inference
Mohammad Ghasempour
Niloofar Moosavi
X. de Luna
CML
35
2
0
27 Jan 2023
Approximation analysis of CNNs from a feature extraction view
Approximation analysis of CNNs from a feature extraction view
Jianfei Li
Han Feng
Ding-Xuan Zhou
24
3
0
14 Oct 2022
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
46
6
0
17 Sep 2022
Approximation of Functionals by Neural Network without Curse of
  Dimensionality
Approximation of Functionals by Neural Network without Curse of Dimensionality
Yahong Yang
Yang Xiang
21
6
0
28 May 2022
Qualitative neural network approximation over R and C: Elementary proofs
  for analytic and polynomial activation
Qualitative neural network approximation over R and C: Elementary proofs for analytic and polynomial activation
Josiah Park
Stephan Wojtowytsch
15
1
0
25 Mar 2022
Bayesian Deep Learning with Multilevel Trace-class Neural Networks
Bayesian Deep Learning with Multilevel Trace-class Neural Networks
Neil K. Chada
Ajay Jasra
K. Law
Sumeetpal S. Singh
BDL
UQCV
80
3
0
24 Mar 2022
Optimal learning of high-dimensional classification problems using deep
  neural networks
Optimal learning of high-dimensional classification problems using deep neural networks
P. Petersen
F. Voigtlaender
25
10
0
23 Dec 2021
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo-Enrich
Youssef Mroueh
91
4
0
07 Oct 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi
Robert D. Nowak
48
38
0
18 Sep 2021
Theory of Deep Convolutional Neural Networks III: Approximating Radial
  Functions
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions
Tong Mao
Zhongjie Shi
Ding-Xuan Zhou
10
33
0
02 Jul 2021
Optimal Convergence Rates for the Orthogonal Greedy Algorithm
Optimal Convergence Rates for the Orthogonal Greedy Algorithm
Jonathan W. Siegel
Jinchao Xu
13
18
0
28 Jun 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen
Jianfeng Lu
Yulong Lu
25
26
0
14 Jun 2021
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Juncai He
Lin Li
Jinchao Xu
AI4CE
20
30
0
10 May 2021
A Priori Generalization Error Analysis of Two-Layer Neural Networks for
  Solving High Dimensional Schrödinger Eigenvalue Problems
A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems
Jianfeng Lu
Yulong Lu
31
29
0
04 May 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving
  High Dimensional Elliptic Equations
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations
Jianfeng Lu
Yulong Lu
Min Wang
23
37
0
05 Jan 2021
Causal Inference of General Treatment Effects using Neural Networks with
  A Diverging Number of Confounders
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
Xiaohong Chen
Y. Liu
Shujie Ma
Zheng-Zhong Zhang
CML
15
11
0
15 Sep 2020
Representation formulas and pointwise properties for Barron functions
Representation formulas and pointwise properties for Barron functions
E. Weinan
Stephan Wojtowytsch
20
79
0
10 Jun 2020
Approximation Bounds for Random Neural Networks and Reservoir Systems
Approximation Bounds for Random Neural Networks and Reservoir Systems
Lukas Gonon
Lyudmila Grigoryeva
Juan-Pablo Ortega
14
64
0
14 Feb 2020
Super-resolution meets machine learning: approximation of measures
Super-resolution meets machine learning: approximation of measures
H. Mhaskar
SupR
6
4
0
10 Jul 2019
A Priori Estimates of the Population Risk for Two-layer Neural Networks
A Priori Estimates of the Population Risk for Two-layer Neural Networks
Weinan E
Chao Ma
Lei Wu
27
130
0
15 Oct 2018
Approximation and Estimation for High-Dimensional Deep Learning Networks
Approximation and Estimation for High-Dimensional Deep Learning Networks
Andrew R. Barron
Jason M. Klusowski
19
59
0
10 Sep 2018
1