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Sparse-Input Neural Networks for High-dimensional Nonparametric
  Regression and Classification

Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification

21 November 2017
Jean Feng
N. Simon
ArXivPDFHTML

Papers citing "Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification"

15 / 15 papers shown
Title
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu
Annie Qu
55
0
0
12 Mar 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
100
0
0
13 Feb 2025
End-to-end Feature Selection Approach for Learning Skinny Trees
End-to-end Feature Selection Approach for Learning Skinny Trees
Shibal Ibrahim
Kayhan Behdin
Rahul Mazumder
30
0
0
28 Oct 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson
Amir Dezfouli
Robert Kohn
31
4
0
02 Feb 2023
Statistical guarantees for sparse deep learning
Statistical guarantees for sparse deep learning
Johannes Lederer
19
11
0
11 Dec 2022
Weight Predictor Network with Feature Selection for Small Sample Tabular
  Biomedical Data
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Andrei Margeloiu
Nikola Simidjievski
Pietro Lio
M. Jamnik
27
12
0
28 Nov 2022
Statistical Guarantees for Approximate Stationary Points of Simple
  Neural Networks
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
31
0
0
09 May 2022
Lockout: Sparse Regularization of Neural Networks
Lockout: Sparse Regularization of Neural Networks
Gilmer Valdes
W. Arbelo
Y. Interian
J. Friedman
19
2
0
15 Jul 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
28
119
0
03 Dec 2020
Layer Sparsity in Neural Networks
Layer Sparsity in Neural Networks
Mohamed Hebiri
Johannes Lederer
36
10
0
28 Jun 2020
Ensembled sparse-input hierarchical networks for high-dimensional
  datasets
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Jean Feng
N. Simon
19
4
0
11 May 2020
LassoNet: A Neural Network with Feature Sparsity
LassoNet: A Neural Network with Feature Sparsity
Ismael Lemhadri
Feng Ruan
L. Abraham
Robert Tibshirani
19
122
0
29 Jul 2019
Improving performance of deep learning models with axiomatic attribution
  priors and expected gradients
Improving performance of deep learning models with axiomatic attribution priors and expected gradients
G. Erion
Joseph D. Janizek
Pascal Sturmfels
Scott M. Lundberg
Su-In Lee
OOD
BDL
FAtt
21
80
0
25 Jun 2019
Neural Granger Causality
Neural Granger Causality
Alex Tank
Ian Covert
N. Foti
Ali Shojaie
E. Fox
CML
23
100
0
16 Feb 2018
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
198
481
0
25 Jun 2008
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