Efficient Gradient-Free Variational Inference using Policy Search

Oleg Arenz, Mingjun Zhong, Gerhard Neumann

Abstract: Inference from complex distributions is a common problem in machine learning needed for many Bayesian methods. We propose an efficient, gradient-free method for learning general GMM approximations ...