3

Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo
A Primer on Bayesian Neural Networks: Review and Debates
Hodge-Aware Contrastive Learning
Understanding Pathologies of Deep Heteroskedastic Regression
Incorporating Unlabelled Data into Bayesian Neural Networks
PAC-Bayesian Meta-Learning: From Theory to Practice
Sparse Gaussian Process Variational Autoencoders