1 Search Results for "Vagena, Zografoula"

Declarative Probabilistic Programming with Datalog

Authors: Vince Barany, Balder ten Cate, Benny Kimelfeld, Dan Olteanu, and Zografoula Vagena

Published in: LIPIcs, Volume 48, 19th International Conference on Database Theory (ICDT 2016)

Probabilistic programming languages are used for developing statistical models, and they typically consist of two components: a specification of a stochastic process (the prior), and a specification of observations that restrict the probability space to a conditional subspace (the posterior). Use cases of such formalisms include the development of algorithms in machine learning and artificial intelligence. We propose and investigate an extension of Datalog for specifying statistical models, and establish a declarative probabilistic-programming paradigm over databases. Our proposed extension provides convenient mechanisms to include common numerical probability functions; in particular, conclusions of rules may contain values drawn from such functions. The semantics of a program is a probability distribution over the possible outcomes of the input database with respect to the program. Observations are naturally incorporated by means of integrity constraints over the extensional and intensional relations. The resulting semantics is robust under different chases and invariant to rewritings that preserve logical equivalence.

Cite as

Vince Barany, Balder ten Cate, Benny Kimelfeld, Dan Olteanu, and Zografoula Vagena. Declarative Probabilistic Programming with Datalog. In 19th International Conference on Database Theory (ICDT 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 48, pp. 7:1-7:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

Copy BibTex To Clipboard

  author =	{Barany, Vince and ten Cate, Balder and Kimelfeld, Benny and Olteanu, Dan and Vagena, Zografoula},
  title =	{{Declarative Probabilistic Programming with Datalog}},
  booktitle =	{19th International Conference on Database Theory (ICDT 2016)},
  pages =	{7:1--7:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-002-6},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{48},
  editor =	{Martens, Wim and Zeume, Thomas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ICDT.2016.7},
  URN =		{urn:nbn:de:0030-drops-57761},
  doi =		{10.4230/LIPIcs.ICDT.2016.7},
  annote =	{Keywords: Chase, Datalog, probability measure space, probabilistic programming}
  • Refine by Author
  • 1 Barany, Vince
  • 1 Kimelfeld, Benny
  • 1 Olteanu, Dan
  • 1 Vagena, Zografoula
  • 1 ten Cate, Balder

  • Refine by Classification

  • Refine by Keyword
  • 1 Chase
  • 1 Datalog
  • 1 probabilistic programming
  • 1 probability measure space

  • Refine by Type
  • 1 document

  • Refine by Publication Year
  • 1 2016

Questions / Remarks / Feedback

Feedback for Dagstuhl Publishing

Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail