A Primer on PAC-Bayesian Learning [article]

Benjamin Guedj
2019 arXiv   pre-print
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.
arXiv:1901.05353v3 fatcat:vy73fwwanvfofbp3azhsrdq5v4