Two-layer neural operators trained with early-stopped gradient descent achieve the same minimax convergence rates as kernel methods in the neural tangent kernel regime.
Functional linear regression with functional response
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Optimal Convergence Rates for Neural Operators
Two-layer neural operators trained with early-stopped gradient descent achieve the same minimax convergence rates as kernel methods in the neural tangent kernel regime.