Learning Operators by Regularized Stochastic Gradient Descent with Operator-valued Kernels
arXiv:2504.18184v4 Announce Type: replace
Abstract: We consider a class of statistical inverse problems involving the estimation of a regression operator from a Polish space to a separable Hilbert space, where the target lies in a vector-valued reprod…