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Consistent feature selection for neural networks via Adaptive Group
  Lasso
v1v2v3 (latest)

Consistent feature selection for neural networks via Adaptive Group Lasso

30 May 2020
L. Ho
Vu C. Dinh
    OOD
ArXiv (abs)PDFHTML

Papers citing "Consistent feature selection for neural networks via Adaptive Group Lasso"

7 / 7 papers shown
Title
Sparse deep neural networks for nonparametric estimation in
  high-dimensional sparse regression
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
Dongya Wu
Xin Li
65
0
0
26 Jun 2024
Generative adversarial learning with optimal input dimension and its
  adaptive generator architecture
Generative adversarial learning with optimal input dimension and its adaptive generator architecture
Zhiyao Tan
Ling Zhou
Huazhen Lin
GAN
74
1
0
06 May 2024
Sparse-Input Neural Network using Group Concave Regularization
Sparse-Input Neural Network using Group Concave Regularization
Bin Luo
S. Halabi
67
3
0
01 Jul 2023
Searching for Minimal Optimal Neural Networks
Searching for Minimal Optimal Neural Networks
L. Ho
Vu C. Dinh
42
5
0
27 Sep 2021
Adaptive Group Lasso Neural Network Models for Functions of Few
  Variables and Time-Dependent Data
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
L. Ho
Nicholas Richardson
Giang Tran
87
3
0
24 Aug 2021
Consistent Feature Selection for Analytic Deep Neural Networks
Consistent Feature Selection for Analytic Deep Neural Networks
Vu C. Dinh
L. Ho
FAtt
423
37
0
16 Oct 2020
Forecasting in Big Data Environments: an Adaptable and Automated
  Shrinkage Estimation of Neural Networks (AAShNet)
Forecasting in Big Data Environments: an Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)
Ali Habibnia
E. Maasoumi
65
6
0
25 Apr 2019
1