Causality: Objectives and Assessment

Guyon, I; Janzing, D; Schölkopf, B; Guyon,; I.,; Janzing, D.; Schölkopf, B.

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Causality: Objectives and Assessment

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Janzing, D
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Schölkopf, B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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引用

Guyon, I., Janzing, D., & Schölkopf, B. (2008). Causality: Objectives and Assessment. In JMLR Workshop and Conference Proceedings: Volume 6 (pp. 1-42). Cambridge, MA, USA: MIT Press.

引用: https://hdl.handle.net/11858/00-001M-0000-0013-C62D-4

要旨

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 http://www.clopinet.com/isabelle/Projects/NIPS2008/. This introduction provides a synthesis of the findings and a gentle introduction to causality topics, which are the object of active research.