Approximation Results for Gradient Descent trained Neural Networks

9 September 2023

Papers citing "Approximation Results for Gradient Descent trained Neural Networks"

5 / 5 papers shown

Title
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent Michael Kohler A. Krzyżak 21 10 0 04 Oct 2022
Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$ R. Gentile G. Welper ODL 38 6 0 17 Sep 2022
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization Mariia Seleznova Gitta Kutyniok 179 16 0 01 Feb 2022
Universal scaling laws in the gradient descent training of neural networks Maksim Velikanov Dmitry Yarotsky 37 9 0 02 May 2021
$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 $\ell^1$ and $\ell^0$ Controls Jason M. Klusowski Andrew R. Barron 122 142 0 26 Jul 2016