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Nonasymptotic theory for two-layer neural networks: Beyond the
  bias-variance trade-off

Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off

9 June 2021
Huiyuan Wang
Wei Lin
    MLT
ArXivPDFHTML

Papers citing "Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off"

4 / 4 papers shown
Title
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi
Robert D. Nowak
48
38
0
18 Sep 2021
Trainability and Accuracy of Neural Networks: An Interacting Particle
  System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
59
118
0
02 May 2018
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
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
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