A general framework for the practical disintegration of PAC-Bayesian bounds

Differentiable PAC–Bayes Objectives with Partially Aggregated Neural Networks

(2021) Felix Biggs et al.   Entropy

PAC-Bayes and domain adaptation

(2019) Pascal Germain et al.   NEUROCOMPUTING

Rényi Divergence and Kullback-Leibler Divergence

(2014) Tim van Erven et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Rényi divergence measures for commonly used univariate continuous distributions

(2013) M. Gil et al.   INFORMATION SCIENCES

Tighter PAC-Bayes bounds through distribution-dependent priors

(2012) Guy Lever et al.   THEORETICAL COMPUTER SCIENCE

Robustness and generalization

(2011) Huan Xu et al.   MACHINE LEARNING