Risk bounds when learning infinitely many response functions by ordinary linear regression.

Vincent Plassier François Portier Johan Segers

Published in: CoRR (2020)

Keyphrases

linear regression
learning algorithm
least squares
supervised learning
locally weighted
active learning
learning problems
reinforcement learning
risk bounds
feature vectors
online learning
learning tasks
regression method
ridge regression