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Nonparametric regression using over-parameterized shallow ReLU neural
  networks
v1v2 (latest)

Nonparametric regression using over-parameterized shallow ReLU neural networks

Journal of machine learning research (JMLR), 2023
14 June 2023
Yunfei Yang
Ding-Xuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Nonparametric regression using over-parameterized shallow ReLU neural networks"

8 / 8 papers shown
ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
Junchao Zhou
Junkang Liu
Fanhua Shang
196
0
0
20 Nov 2025
Sobolev norm inconsistency of kernel interpolation
Sobolev norm inconsistency of kernel interpolationAnalysis and Applications (AA), 2025
Yunfei Yang
381
0
0
29 Apr 2025
Approximation Bounds for Transformer Networks with Application to Regression
Approximation Bounds for Transformer Networks with Application to Regression
Yuling Jiao
Yanming Lai
Defeng Sun
Yang Wang
Bokai Yan
511
1
0
16 Apr 2025
Nonuniform random feature models using derivative information
Nonuniform random feature models using derivative information
Konstantin Pieper
Zezhong Zhang
Guannan Zhang
230
3
0
03 Oct 2024
Approximation Bounds for Recurrent Neural Networks with Application to Regression
Approximation Bounds for Recurrent Neural Networks with Application to Regression
Yuling Jiao
Yang Wang
Bokai Yan
270
1
0
09 Sep 2024
On the rates of convergence for learning with convolutional neural networks
On the rates of convergence for learning with convolutional neural networks
Yunfei Yang
Han Feng
Ding-Xuan Zhou
422
4
0
25 Mar 2024
Barron Space for Graph Convolution Neural Networks
Barron Space for Graph Convolution Neural Networks
Seok-Young Chung
Qiyu Sun
GNN
196
2
0
06 Nov 2023
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural NetworksConstructive approximation (Constr. Approx.), 2023
Jonathan W. Siegel
609
17
0
28 Jul 2023
1
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