Randomized algorithms for Tikhonov regularization in linear least squares.

Maike Meier Yuji Nakatsukasa

Published in: CoRR (2022)

Keyphrases

randomized algorithms
linear least squares
least squares
lower bound
regularization parameter
reproducing kernel hilbert space
approximation algorithms
learning algorithm
image restoration
worst case
singular value decomposition
active learning
special case
kernel methods
linear model