approximate in the non-linear case and so what we can see is that through this approximate approximate equivalence as well as the appraoch the approximation of the integral with the map estimate is that mammal is approximating inference in this hierarchical bayesian model which i think is useful for providing some intuition for the types of priors that we're learning in the meta learning process okay so mammal is a form of implicit prior are there other forms of priors that we can impose on the optimization procedure one thing we