PLP 2023: The Tenth Workshop on Probabilistic Logic Programming Imperial College London London, UK, July 915, 2023 
Conference website  https://stoics.org.uk/~plp2023/ 
Submission link  https://easychair.org/conferences/?conf=plp2023 
Submission deadline  May 8, 2023 
CALL FOR PAPERS
PLP 2023: The Tenth Workshop on Probabilistic Logic Programming
A Workshop of 39th International Conference on Logic Programming
July 0915, 2023
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.
The workshop encompasses all aspects of combining logic, algorithms, programming and probability.
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 which represent highly structured probability spaces. Due to logic programming's strong theoretical underpinnings, PLP is one of the more disciplined areas 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 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. As is traditional in this series, the workshop would be designed to foster exchange between the various communities relevant to probabilistic logic programming, including probabilistic programming and statistical relational artificial intelligence.
Submission Guidelines
Contributions should be prepared in the LNCS style (https://www.springer.com/gp/computerscience/lncs/conferenceproceedingsguidelines). A mixture of papers are sought including: new results; work in progress; and technical summaries of recent substantial contributions. Papers presenting new results should be 615 pages in length. Work inprogress and technical summaries can be shorter (25 pages).
At least one author of each accepted paper will be required to attend the workshop to present the contribution.
List of Topics

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

neurosymbolic representation and reasoning

constraints in statistical inference

PLP applications, such as bioinformatics, semantic web, robotics,...

lifted probabilistic graphical models

(lifted) Bayesian learning

tabling for learning and stochastic inference

sampling methods

stochastic search

labelled logic programs

weighted model counting

knowledge compilation

integration of statistical software
This list is by no means exhaustive.
Committees
Programme Committee Chairs
 Kilian Rückschloß
 Felix Weitkämper, DPhil (Oxon)
Programme Committee
 Rafael Kiesel, TU Wien
 Sagar Malhotra, Fondazione Bruno Kessler
 Dr. Nico Potyka, Imperial College London
 Dr. Vaishak Belle, University of Edinburgh
 Prof. Elena Bellodi, Associate Professor, University of Ferrara
 Prof. Fabio Cozman, Full Professor, Universidade de São Paulo
 Dr. Matthias Nickles, Lecturer Above the Bar, NUI Galway
 Dr. Roberta Calligari, Postdoc, Università di Bologna
 Prof. Fabrizio Riguzzi, University of Ferrara
 Dr. Damiano Azzolini, University of Ferrara
 Dr. Peter Baumgartner, Data61/ANU canberra
 Theresa Swift PhD, Universidad Nova de Lisboa
 Prof. Alexander Artikis, University of Piraeus
Invited Speakers

Dr. Devendra Singh Dhami, Independent Research Group Leader and Post Doctoral Researcher, hessian.AI and AIML Lab, TU Darmstadt

Prof. Rafael Peñaloza, Associate Professor, University of MilanoBicocca
 Prof. Joost Vennekens, Associate Professor, KU Leuven
Publication
Informal proceedings will be made available electronically to attendees and submitted to the CEUR Workshop Proceedings repository (http://ceurws.org/).
Venue
The workshop will be held at the Imperial College London.
Contact
All questions about submissions should be emailed to kilian.rueckschloss@lmu.de or to felix.weitkaemper@lmu.de.