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[Coq-Club] PLP 2022: The 9th Workshop on Probabilistic Logic Programming


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  • From: Víctor Pérez <victor.perez AT software.imdea.org>
  • To: coq-club AT inria.fr
  • Subject: [Coq-Club] PLP 2022: The 9th Workshop on Probabilistic Logic Programming
  • Date: Thu, 13 Jan 2022 09:35:17 +0100 (CET)
  • Authentication-results: mail3-smtp-sop.national.inria.fr; spf=None smtp.pra=victor.perez AT software.imdea.org; spf=Pass smtp.mailfrom=victor.perez AT software.imdea.org; spf=Pass smtp.helo=postmaster AT system.software.imdea.org
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================================================================================
PLP 2022
The 9th Workshop on Probabilistic Logic Programming
Collocated with ICLP 2022
Haifa, Israel, 1 August 2022
http://stoics.org.uk/~plp2022/
================================================================================

Call for Papers
===============

Probabilistic logic programming (PLP) approaches have received much attention
in this century. They address the need to reason about relational domains
under uncertainty arising in a variety of application domains, such as
bioinformatics, the semantic web, robotics, and many more. Developments in
PLP include new languages that combine logic programming with probability
theory as well as algorithms that operate over programs in these formalisms.

PLP is part of a wider current interest in probabilistic programming. By
promoting probabilities as explicit programming constructs, inference,
parameter estimation and learning algorithms can be run over programs that
represent highly structured probability spaces. Partly due to logic
programming's strong theoretical underpinnings, PLP is fast becoming a very
well founded area of probabilistic programming. It builds upon and benefits
from the large body of existing work in logic programming, both in semantics
and implementation, but also presents new challenges to the field. PLP
reasoning often requires the evaluation of a large number of possible states
before any answers can be produced thus breaking the sequential search model
of traditional logic programs.

While PLP has already contributed a number of formalisms, systems and well
understood and established results in: parameter estimation, tabling,
marginal probabilities and Bayesian learning, many questions remain open in
this exciting, expanding field in the intersection of AI, machine learning
and statistics. The workshop encompasses all aspects of combining logic,
algorithms, programming and probability. It aims to bring together
researchers in all aspects of probabilistic logic programming, including
theoretical work, system implementations and applications. Interactions
between theoretical and applied minded researchers are encouraged.

Topics of Interest
------------------

This workshop provides a forum for the exchange of ideas, presentation of
results and preliminary work in all areas related to probabilistic logic
programming; including, but not limited to:

* probabilistic logic programming formalisms
* probabilistic logic programming languages
* parameter estimation
* statistical inference
* implementations
* structure learning
* reasoning with uncertainty
* constraint store approaches
* stochastic and randomised algorithms
* probabilistic knowledge representation and reasoning
* neuro-symbolic representation and reasoning
* constraints in statistical inference
* PLP applications, such as bioinformatics, semantic web, robotics,...
* probabilistic graphical models
* Bayesian learning
* tabling for learning and stochastic inference
* MCMC
* stochastic search
* labelled logic programs
* integration of statistical software

along with any other PLP-related topic.

Submissions
---------------

Submissions will be managed via EasyChair:
https://easychair.org/conferences/?conf=plp22.

Contributions should be prepared in the 1-column CEURART style (also
available as an overleaf project
https://www.overleaf.com/project/5e76702c4acae70001d3bc87). A mixture of
papers are sought including: new results, work in progress as well as
technical summaries of recent substantial contributions. Papers presenting
new results should be 6-15 pages in length. Work in progress and technical
summaries can be shorter (2-5 pages). The workshop proceedings will clearly
indicate the type of each paper.

At least one author of each accepted paper will be required to attend the
workshop to present the contribution.


Important Dates
---------------

Paper submission deadline: June 10th, 2022
Notification: July 10th, 2022
Camera Ready: July 20th, 2022
Workshop: August 1st, 2022

(the deadline for all dates is intended Anywhere on Earth (UTC-12))

Program Chairs
---------------
* Roberta Calegari <roberta.calegari AT unibo.it>
* Luke Dickens <l.dickens AT ucl.ac.uk>


  • [Coq-Club] PLP 2022: The 9th Workshop on Probabilistic Logic Programming, Víctor Pérez, 01/13/2022

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