From PAC-Bayes Bounds to KL Regularization.

Pascal Germain Alexandre Lacasse François Laviolette Mario Marchand Sara Shanian

Published in: NIPS (2009)

Keyphrases

pac bayes
risk bounds
empirical risk minimization
data dependent
generalization bounds
linear classifiers
statistical learning theory
uniform convergence
generalization ability
vc dimension
learning algorithm
learning theory
model selection