Compiling Stan to generative probabilistic languages and extension to deep probabilistic programming

G Baudart, J Burroni, M Hirzel, L Mandel… - Proceedings of the 42nd …, 2021 - dl.acm.org
Stan is a probabilistic programming language that is popular in the statistics community, with
a high-level syntax for expressing probabilistic models. Stan differs by nature from …

[PDF][PDF] Improving automated variational inference with normalizing flows

S Webb, JP Chen, M Jankowiak… - ICML Workshop on …, 2019 - automl.org
We describe a framework for performing automatic Bayesian inference in probabilistic
programs with fixed structure. Our framework takes a probabilistic program with fixed …

[PDF][PDF] Compiling Stan to Generative Probabilistic Languages

G BAUDART, J BURRONI, M HIRZEL, K KATE… - guillaume.baudart.eu
Stan is a popular declarative probabilistic programming language with a high-level syntax
for expressing graphical models and beyond. Stan differs by nature from generative …