Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms.

Dimitri Meunier Zikai Shen Mattes Mollenhauer Arthur Gretton Zhu Li

Published in: CoRR (2024)

Keyphrases

vector valued
learning algorithm
reproducing kernel hilbert space
matrix valued
scale space
tikhonov regularization
machine learning
active learning
learning tasks
learning problems
supervised learning
machine learning algorithms
kernel methods
density estimation
data dependent