Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks-Reference-Cited by-同舟云学术

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Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks

Published:2024-03-01 Issue:2 Volume:62 Page:593-621
ISSN:0036-1429
Container-title:SIAM Journal on Numerical Analysis
language:en
Short-container-title:SIAM J. Numer. Anal.

Author:

Archibald Richard¹^ORCID,Bao Feng²,Cao Yanzhao³,Sun Hui²

Affiliation:

1. Computational Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830 USA.

2. Department of Mathematics, Florida State University, Tallahassee, FL 32306 USA.

3. Department of Mathematics, Auburn University, Auburn, AL 36849 USA.

Funder

FASTMath Institute

U.S. National Science Foundation

U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Applied Mathematics

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference30 articles.

1. A backward SDE method for uncertainty quantification in deep learning

2. Optimization Methods for Large-Scale Machine Learning

3. A Proposal on Machine Learning via Dynamical Systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convergence Analysis for an Online Data-Driven Feedback Control Algorithm;Mathematics;2024-08-21

2. Quadrature Based Neural Network Learning of Stochastic Hamiltonian Systems;Mathematics;2024-08-06

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