Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes

Hyunouk Ko; Xiaoming Huo

2024 ICML ICML 2024

Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes

Abstract

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Authors

Hyunouk Ko, Xiaoming Huo

Topics

Machine Learning > Core Methods > Classification Machine Learning > Optimization & Theory > Learning Theory Deep Learning > Architectures > Neural Networks

Keywords

universal consistency 0-1 loss benign overfitting minimax optimal rate relu kolmogorov-donoho optimal function classes

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