Convergence Rates for Learning Linear Operators from Noisy Data

Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen +1

This paper studies the learning of linear operators between infinite-dimensional Hilbert spaces. The training data comprises pairs of random input vectors in a Hilbert space and th…