Learning PAC-Bayes Priors for Probabilistic Neural Networks

Maria Perez-Ortiz, Omar Rivasplata, Benjamin Guedj +5

Recent works have investigated deep learning models trained by optimising PAC-Bayes bounds, with priors that are learnt on subsets of the data. This combination has been shown to l…