Dropout fails to regularize nonparametric learners

DOI10.1007/s42519-020-00158-9OpenAlexW3124356841MaRDI QIDQ2241520

Ernest Fokoué, Ryan W. Murray

Publication date: 9 November 2021

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-020-00158-9

zbMATH Keywords

regularizationnonparametric statisticsdeep learningdropout

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Related Items (1)

On some similarities and differences between deep neural networks and kernel learning machines

Cites Work

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• On the Inductive Bias of Dropout
• Surprising properties of dropout in deep networks
• Advanced Lectures on Machine Learning
• Metric Entropy of Certain Classes of Lipschitz Functions
• Random forests
• Second-order \(\Gamma\)-limit for the Cahn-Hilliard functional

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