Study shows shallow over-parameterized neural networks with channel attention achieve sharp generalization in nonparametric regression

A new paper studies nonparametric regression using an over-parameterized two-layer ReLU neural network with fixed covariance-based channel attention, trained by gradient descent, deriving sharp generalization guarantees in interpolation space.

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1. 2026-11-03 05:00 · arXiv stat.ML
   Sharp Generalization for Nonparametric Regression in Interpolation Space by Shallow Over-Parameterized Neural Networks with Channel Attention