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Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation
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Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation

Andrew R. Barron
Jason M. Klusowski
ArXiv (abs)PDFHTML

Papers citing "Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation"

10 / 10 papers shown
Title
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot
Seok Hoan Choi
Yuxiao Wen
AI4CE
143
2
0
08 Jul 2024
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Yuling Jiao
Yang Wang
Yunfei Yang
82
20
0
24 Jan 2022
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
Alberto Badías
A. Banerjee
74
3
0
02 Jul 2021
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
Rahul Parhi
Robert D. Nowak
MLT
128
71
0
07 May 2021
Generalization bounds for deep learning
Generalization bounds for deep learning
Guillermo Valle Pérez
A. Louis
BDL
82
45
0
07 Dec 2020
Layer Sparsity in Neural Networks
Layer Sparsity in Neural Networks
Mohamed Hebiri
Johannes Lederer
92
10
0
28 Jun 2020
Banach Space Representer Theorems for Neural Networks and Ridge Splines
Banach Space Representer Theorems for Neural Networks and Ridge Splines
Rahul Parhi
Robert D. Nowak
33
7
0
10 Jun 2020
Statistical Guarantees for Regularized Neural Networks
Statistical Guarantees for Regularized Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
113
39
0
30 May 2020
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Jean Feng
N. Simon
26
4
0
11 May 2020
Significance Tests for Neural Networks
Significance Tests for Neural Networks
Enguerrand Horel
K. Giesecke
57
56
0
16 Feb 2019

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