Machine Learning, Generative Model, Bayesian Machine Learning.
something called the Jenson-Shannon distance, which is essentially a measure of how good a substitute the distributions are for one another; how much information do you use by representing one in terms of the other. A fact about this distance is that it “saturates”: it can give you information when