Causality Workbench

Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Elisseeff, Jean Philippe Pellet, Peter Spirtes, Alexander Statnikov

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

The Causality Workbench project provides an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), a number of resources are provided, including a repository of datasets, models, and software packages, and a virtual laboratory allowing users to benchmark causal discovery algorithms by performing virtual experiments to study artificial causal systems. Regular competitions are organized.

Original languageEnglish (US)
Title of host publicationCausality in the Sciences
PublisherOxford University Press
ISBN (Electronic)9780191728921
ISBN (Print)9780199574131
DOIs
StatePublished - Sep 22 2011

Keywords

  • Benchmarks
  • Causal modeling
  • Challenges
  • Competitions
  • Data repository
  • Generating models
  • Virtual laboratory

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