Co-occurring keywords · papers mentioning both
Papers
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
NeurIPS 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning
ICML 2019
Data-dependent PAC-Bayes priors via differential privacy
NeurIPS 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
ICML 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors
NeurIPS 2018
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees
AISTATS 2014
PAC-Bayes-Empirical-Bernstein Inequality
NeurIPS 2013
Dimensionality Dependent PAC-Bayes Margin Bound
NeurIPS 2012
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes
JMLR 2010
From PAC-Bayes Bounds to KL Regularization
NeurIPS 2009
Risk Bounds for Randomized Sample Compressed Classifiers
NeurIPS 2008
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers
JMLR 2007
A PAC-Bayes Risk Bound for General Loss Functions
NeurIPS 2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
NeurIPS 2006
Tighter PAC-Bayes Bounds
NeurIPS 2006