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  Learning causality by identifying common effects with kernel-based dependence measures

Sun, X., & Janzing, D. (2007). Learning causality by identifying common effects with kernel-based dependence measures. In M. Verleysen (Ed.), Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007 (pp. 453-458). Evere, Belgium: D-Side.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CE21-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-E32D-B
Genre: Conference Paper

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ESANN-2007-Sun-Learning.pdf (Any fulltext), 682KB
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 Creators:
Sun, X1, 2, Author              
Janzing, D, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We describe a method for causal inference that measures the strength of statistical dependence by the Hilbert-Schmidt norm of kernel-based conditional cross-covariance operators. We consider the increase of the dependence of two variables X and Y by conditioning on a third variable Z as a hint for Z being a common effect of X and Y. Based on this assumption, we collect "votes" for hypothetical causal directions and orient the edges according to the majority vote. For most of our experiments with artificial and real-world data our method has outperformed the conventional constraint-based inductive causation (IC) algorithm.

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 Dates: 2007-04
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: 4455
 Degree: -

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Title: 15th European Symposium on Artificial Neural Networks (ESANN 2007)
Place of Event: Brugge, Belgium
Start-/End Date: 2007-04-25 - 2007-04-27

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Title: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007
Source Genre: Proceedings
 Creator(s):
Verleysen, M, Editor
Affiliations:
-
Publ. Info: Evere, Belgium : D-Side
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 453 - 458 Identifier: ISBN: 2-930307-07-2