On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent

30 August 2022

Papers citing "On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent"

10 / 10 papers shown

Title
Statistically guided deep learning Michael Kohler A. Krzyżak ODL BDL 66 0 0 11 Apr 2025
Approximation and Gradient Descent Training with Neural Networks G. Welper 36 1 0 19 May 2024
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent Michael Kohler A. Krzyżak Benjamin Walter 26 1 0 13 May 2024
Analysis of the expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization Selina Drews Michael Kohler 23 2 0 24 Nov 2023
Approximation Results for Gradient Descent trained Neural Networks G. Welper 48 0 0 09 Sep 2023
Deep Learning is Provably Robust to Symmetric Label Noise Carey E. Priebe Ningyuan Huang Soledad Villar Cong Mu Li-Wei Chen NoLa 11 2 0 26 Oct 2022
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent Michael Kohler A. Krzyżak 29 10 0 04 Oct 2022
Deep learning for inverse problems with unknown operator Miguel del Alamo 25 1 0 05 Aug 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 252 13,364 0 25 Aug 2014