Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds

David Reeb, Andreas Doerr, Sebastian Gerwinn +1

Gaussian Processes (GPs) are a generic modelling tool for supervised learning. While they have been successfully applied on large datasets, their use in safety-critical application…