Title: Progress in probabilistic programming
Other Titles: Dagstuhl seminar 14381
Authors: De Raedt, Luc
Issue Date: Jan-2015
Publisher: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Host Document: Neural-Symbolic Learning and Reasoning (Seminar Report)
Series Title: Dagstuhl Report
Conference: Dagstuhl Seminar edition:14381 location:Dagstuhl date:14-19 September 2014
Abstract: Probabilistic logic programs combine the power of a programming language with a
possible world semantics, typically based on Sato's distribution semantics and they
have been studied for over twenty years. In this talk, I introduced the concepts
underlying probabilistic programming, their semantics, different inference and
learning mechanisms. I then reported on recent progress within this paradigm. This
was concerned with an extension towards dealing with continuous distributions as well
as coping with dynamics. This is the framework of distributional clauses that has been
applied to several applications in robotics, for tracking relational worlds in which
objects or their properties are occluded in real time. Finally, some remaining open
challenges were discussed.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section

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