PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Causality: Objectives and Assessment
Isabelle Guyon, Dominik Janzing and Bernhard Schölkopf
JMLR W&CP Volume 6, pp. 1-38, 2010.


The NIPS 2008 workshop on causality provided a forum for researchers from different horizons to share their view on causal modeling and address the difficult question of assessing causal models. There has been a vivid debate on properly separating the notion of causality from particular models such as graphical models, which have been dominating the field in the past few years. Part of the workshop was dedicated to discussing the results of a challenge, which offered a wide variety of applications of causal modeling. We have regrouped in these proceedings the best papers presented. Most lectures were videotaped or recorded. All information regarding the challenge and the lectures are found at This paper provides a synthesis of the findings and a gentle introduction to causality topics, which are the object of active research.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:5766
Deposited By:Isabelle Guyon
Deposited On:08 March 2010