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Optimal Convergence Rates for the Orthogonal Greedy Algorithm

Optimal Convergence Rates for the Orthogonal Greedy Algorithm

28 June 2021
Jonathan W. Siegel
Jinchao Xu
ArXivPDFHTML

Papers citing "Optimal Convergence Rates for the Orthogonal Greedy Algorithm"

8 / 8 papers shown
Title
Orthogonal greedy algorithm for linear operator learning with shallow neural network
Ye Lin
Jiwei Jia
Young Ju Lee
Ran Zhang
34
1
0
06 Jan 2025
Approximation and Gradient Descent Training with Neural Networks
Approximation and Gradient Descent Training with Neural Networks
G. Welper
38
1
0
19 May 2024
Approximation Results for Gradient Descent trained Neural Networks
Approximation Results for Gradient Descent trained Neural Networks
G. Welper
48
0
0
09 Sep 2023
Sharp Convergence Rates for Matching Pursuit
Sharp Convergence Rates for Matching Pursuit
Jason M. Klusowski
Jonathan W. Siegel
29
1
0
15 Jul 2023
Ensemble Projection Pursuit for General Nonparametric Regression
Ensemble Projection Pursuit for General Nonparametric Regression
Haoran Zhan
Mingke Zhang
Yingcun Xia
8
0
0
26 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
52
6
0
17 Sep 2022
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi
Robert D. Nowak
50
38
0
18 Sep 2021
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
127
142
0
26 Jul 2016
1