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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