Integral Probability Metrics PAC-Bayes Bounds.

Ron Amit Baruch Epstein Shay Moran Ron Meir

Published in: NeurIPS (2022)

Keyphrases

feature vectors
pac bayes
risk bounds
generalization bounds
data dependent
linear classifiers
large deviations
empirical risk minimization
probability distribution
learning theory
model selection
generalization ability
stochastic processes
statistical learning theory
upper bound
worst case