The Seventh International Workshop on Languages for InferenceLAFI 2022

This workshop aims to bring programming-language and machine-learning researchers together to advance all aspects of languages for inference.

Topics include but are not limited to:

• Design of programming languages for statistical inference and/or differentiable programming
• Inference algorithms for probabilistic programming languages, including ones that incorporate automatic differentiation
• Automatic differentiation algorithms for differentiable programming languages
• Probabilistic generative modelling and inference
• Variational and differential modelling and inference
• Semantics (axiomatic, operational, denotational, games, etc) and types for inference and/or differentiable programming
• Efficient and correct implementation
• Applications of inference and/or differentiable programming

Call for Extended Abstracts

=====================================================================

                 Call for Extended Abstracts

                          LAFI 2022
         POPL 2022 workshop on Languages for Inference

                        January 16, 2022
          https://popl22.sigplan.org/home/lafi-2022

           Submission deadline on October 15, 2021!

====================================================================

***** Submission Summary *****

Deadline: October 15, 2021 (AoE)

Link: https://lafi22.hotcrp.com/

Format: extended abstract (2 pages + references)

***** Call for Extended Abstracts *****

Inference concerns re-calibrating program parameters based on observed data, and has gained wide traction in machine learning and data science. Inference can be driven by probabilistic analysis and simulation, and through back-propagation and differentiation. Languages for inference offer built-in support for expressing probabilistic models and inference methods as programs, to ease reasoning, use, and reuse. The recent rise of practical implementations as well as research activity in inference-based programming has renewed the need for semantics to help us share insights and innovations.

This workshop aims to bring programming-language and machine-learning researchers together to advance all aspects of languages for inference. Topics include but are not limited to:

• design of programming languages for inference and/or differentiable programming;

• inference algorithms for probabilistic programming languages, including ones that incorporate automatic differentiation;

• automatic differentiation algorithms for differentiable programming languages;

• probabilistic generative modeling and inference;

• variational and differential modeling and inference;

• semantics (axiomatic, operational, denotational, games, etc) and types for inference and/or differentiable programming;

• efficient and correct implementation;

• and last but not least, applications of inference and/or differentiable programming.

We expect this workshop to be informal, and our goal is to foster collaboration and establish common ground. Thus, the proceedings will not be a formal or archival publication, and we expect to spend only a portion of the workshop day on traditional research talks. Nevertheless, as a concrete basis for fruitful discussions, we call for extended abstracts describing specific and ideally ongoing work on probabilistic and differential programming languages, semantics, and systems.

***** Submission guidelines *****

Submission deadline on October 15, 2021 (AoE)

Submission link: https://lafi22.hotcrp.com/

Anonymous extended abstracts are up to 2 pages in PDF format, excluding references.

In line with the SIGPLAN Republication Policy, inclusion of extended abstracts in the program is not intended to preclude later formal publication.