Last week our group held a somewhat advanced summer school on Bayesian DL, covering modern research topics like scalable variational inference, generative modelling, Distributional RL, advanced GPs, stochastic MCMC, and more. Most of the talks were given by the group’s members, but we were fortunate to have few cool invited speakers, Max Welling being one of them.
All of the lectures (except the first one, unfortunately it was lost) were recorded, slides and practicals are available, too
P.S. There’s a high chance we’ll rerun the school next year, so check back in Jan / Feb 2019 if you’re interested!