Minimax rates for learning spectral Barron functions by deep ReLU neural networks
arXiv:2609.39020v1 Announce Type: new Abstract: We study how well deep neural networks approximate and learn spectral Barron functions. Recent studies have shown that these function classes can be efficiently approximated by shallow neural networks without suffering from the curse of dimensionality…
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- 2026-10-01 04:00 · arXiv stat.ML
Minimax rates for learning spectral Barron functions by deep ReLU neural networks