Expressive Priors In Bayesian Neural Networks

Summary

Short intro to our UAI 2019 paper: Short talk for the 3rd Symposium on Advances in Approximate This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ... By Yingzhen Li from Microsoft Research Cambridge. For more information please visit: gpss.cc/gpss19. My first classes at OIST are coming up! OoO patreon.com/thinkstr. ... theory behind TAGI, a method capable of performing tractable approximate Gaussian inference in Slides: github.com/bayesgroup/deepbayes-2019/blob/master/lectures/day6/1. So just so that we're all on the same page Do we need rich posterior approximations in variational inference? Mean-field variational inference and Monte Carlo dropout are ... Yeah so this is very different so with the code posterior effect the idea is that if you do inference on a