2019
Reparameterizing Distributions on Lie Groups
AISTATS 2019poster
Reparameterizable densities are an important way to learn probability distributions in a deep learning setting. For many distributions it is possible to create low-variance gradient estimators by utilizing a ‘reparameterization trick’. Due to the absence of a general reparameterization trick, much r…