the parameters and there is a way that we can do this in fact and so let's go back to our graphical model say that we want to sample from this this distribution you can write out as the integral where we're integrating out p theta of course this integral is completely intractable if theta are the parameters of a neural network but one thing you might ask is well what if we knew p if i given theta and the training data set if we knew this distribution our graphical model would be transformed in this way switching the arrows from