reprioritization trick to train this model in order to effectively produce this distribution indeed various approaches have used this type of approach for example Gordon at all I use this approach where H correspond to the the weights of the last layer of a neural network okay so now now that we've gone over how you can a very naturally apply this with blackbox approaches what about optimization based metal learning approaches can we further extend these to the Bayesian setting there's a few different ways that you go