I have yet to see someone successfully produce a high dimensional posterior over all of the parameters in the neural network. Usually, people make the simplifyi

I have yet to see someone successfully produce a high dimensional posterior over all of the parameters in the neural network. Usually, people make the simplifying assumption of different posteriors for each parameter, which means that you can't just extract a bunch of different models.