Login / Signup

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

Zhu LiDimitri MeunierMattes MollenhauerArthur Gretton
Published in: CoRR (2023)
Keyphrases
  • regularized least squares
  • learning algorithm
  • vector valued
  • computational complexity
  • similarity measure
  • reproducing kernel hilbert space
  • input data
  • bayesian framework