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Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized
  Least-Squares Algorithm

Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm

12 December 2023
Zhu Li
D. Meunier
Mattes Mollenhauer
Arthur Gretton
ArXivPDFHTML

Papers citing "Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm"

2 / 2 papers shown
Title
Learning linear operators: Infinite-dimensional regression as a
  well-behaved non-compact inverse problem
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer
Nicole Mücke
T. Sullivan
19
24
0
16 Nov 2022
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
A. Gretton
Massimiliano Pontil
80
143
0
21 May 2012
1