POPL 2024
Wed 17 - Fri 19 January 2024 London, United Kingdom

The Languages for Inference (LAFI) 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 modeling 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

Accepted Papers

Title
Abstract Interpretation for Automatic Differentiation
LAFI
A Multi-language Approach to Probabilistic Program Inference
LAFI
A slice sampler for the Indian Buffet Process: expressivity in nonparametric probabilistic programming
LAFI
A Tree Sampler for Bounded Context-Free Languages
LAFI
Belief Programming in Partially Observable Probabilistic Environments
LAFI
Effect Handlers for Choice-Based Learning
LAFI
Effective Sequential Monte Carlo for Language Model Probabilistic Programs
LAFI
Guaranteed Bounds for Discrete Probabilistic Programs with Loops via Generating Functions
LAFI
Homomorphic Reverse Differentiation of Iteration
LAFI
JuliaBUGS: A Graph-Based Probabilistic Programming Language using BUGS syntax
LAFI
Mixture Languages
LAFI
MultiSPPL: extending SPPL with multivariate leaf nodes
LAFI
Reverse mode ADEV via YOLO: tangent estimators transpose to gradient estimators
LAFI
Sparse Differentiation in Computer Graphics
LAFI
Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial Solving
LAFI
Structured Tensor Algebra for Efficient Discrete Probabilistic Inference
LAFI
Toward Probabilistic Coarse-to-Fine Program Synthesis
LAFI
Towards a Categorical Model of the Lilac Separation Logic
LAFI

Call for Papers

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

             Call for Extended Abstracts

                      LAFI 2024
     Tenth Workshop on Languages for Inference at POPL 2024

                    January 14, 2024
      https://popl24.sigplan.org/home/lafi-2024

       Submission Deadline: October 27, 2023 

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

Invited Speaker

Hong Ge, Principal Investigator, Machine Learning Group, University of Cambridge

Submission Summary

  • Deadline: October 27, 2023 (AoE)
  • Submission page: https://lafi24.hotcrp.com/
  • Format: extended abstract (2 pages + references + optional appendices)
  • Call for Extended Abstracts

Workshop Goals

LAFI 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:

  • The 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;
  • Semantics (axiomatic, operational, denotational, games, etc) and types for inference and/or differentiable programming;
  • Formal verification and correctness for differentiable and probabilistic programs;
  • Applications of inference and/or differentiable programming.

The workshop is informal, and our goal is to foster collaboration and establish a shared foundation for research on languages for inference. 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.

Submission guidelines

  • Submission deadline on October 27, 2023 (AoE)
  • Submission link: https://lafi24.hotcrp.com/
  • Any format is permitted, uploads must be in PDF.
  • Page limit: 2 pages of main content, unlimited number of references and appendices. Reviewers are not required or expected to read appendices.
  • Anonymity: submissions should be anonymized for peer review.
  • In line with the SIGPLAN Republication Policy, inclusion of extended abstracts in the program should not preclude later formal publication.

Remote participation policy

Coordination with the POPL conference is underway to enable remote participation. We strive to create an inclusive environment that does not demand traveling for presenters or participants.

Questions? Use the LAFI contact form.