A Primer on PAC-Bayesian Learning
Benjamin Guedj · arXiv (Cornell University) · 2019
Generalised Bayesian learning algorithms are increasingly popular in machine learning, due to their PAC generalisation properties and flexibility. The present paper aims at providing a self-contained survey on the resulting PAC-Bayes framework and some of its main theoretical and algorithmic developments.