Jun 22, 2018 · We introduce inference metaprogramming for probabilistic programming languages, including new language constructs, a formalism, and the first ...

We introduce inference metaprogramming for probabilistic programming languages, including new language constructs, a formalism, and the rst demonstration of ...

Jun 22, 2024 · In this paper, we propose a more modular approach to supporting variational inference in PPLs, based on compositional program transformation.

We introduce inference metaprogramming for probabilistic programming languages, including new language constructs, a formalism, and the first demonstration of ...

Jun 28, 2019 · This paper introduces Gen, a general-purpose probabilistic programming system that achieves modeling flexibility and inference efficiency via ...

Gen: A General-Purpose Probabilistic Programming System with Programmable Inference. Warning: This is rapidly evolving research software.

Gen's inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating ...

Using our library, users can write probabilistic programs encoding probabilistic models and variational families. They can then define variational objectives to ...

PLDI will take place June 20-22 (workshops and tutorials will take place June 18-19).

Duration: 23:03
Posted: Jul 19, 2019