Learning Proposals for Probabilistic Programs with Inference Combinators

1 code implementation • 1 Mar 2021 • Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent

Proposals in these samplers can be parameterized using neural networks, which in turn can be trained by optimizing variational objectives.