Dropout drops double descent

DOI10.1007/s42081-024-00242-5MaRDI QIDQ6670075

Joe Suzuki, Tian-Le Yang

Publication date: 22 January 2025

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

zbMATH Keywords

linear regressiondropoutdouble descent

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Minimax ridge regression estimation
• Generalized ridge estimator and model selection criteria in multivariate linear regression
• High-dimensional dynamics of generalization error in neural networks
• A new class of generalized Bayes minimax ridge regression estimators
• On the Inductive Bias of Dropout
• Generalized ridge regression: a note on negative ridge parameters
• An Explicit Solution for Generalized Ridge Regression
• Minimax Adaptive Generalized Ridge Regression Estimators
• High-Dimensional Statistics
• Deep double descent: where bigger models and more data hurt*
• Two Models of Double Descent for Weak Features
• Reconciling modern machine-learning practice and the classical bias–variance trade-off
• The Elements of Statistical Learning

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