Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent

4 October 2022

Papers citing "Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent"

8 / 8 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 expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization Selina Drews Michael Kohler 21 2 0 24 Nov 2023
Approximation Results for Gradient Descent trained Neural Networks G. Welper 48 0 0 09 Sep 2023
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift Hongxiang Qiu E. T. Tchetgen Edgar Dobriban OOD 15 7 0 28 Jun 2023
Deep learning for inverse problems with unknown operator Miguel del Alamo 23 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 250 13,364 0 25 Aug 2014