Dear UAIers, A reminder of our workshop
*Approaches to Causal Structure Learning* on Monday July 15th in Bellevue, WA, USA. (the day after UAI 2013) Invited Speakers: * David Heckerman - Microsoft Research * Joris Mooij - Radboud University Nijmegen Schedule, Abstracts and Registration details now online at http://www.statslab.cam.ac.uk/~rje42/uai13/main.htm Themes: Causality is central to how we view and react to the world around us, to our decision making, and to the advancement of science. Causal inference in statistics and machine learning has advanced rapidly in the last 20 years, leading to a plethora of new methods. However, a side-effect of the increased sophistication of these approaches is that they have grown apart, rather than together. The aim of this workshop is to bring together researchers interested in the challenges of causal structure learning from observational and experimental data especially when latent or confounding variables may be present. Topics related to causal structure learning will be explored through a set of invited talks, presentations and a poster session. Robin Evans (chair) Marloes Maathius Thomas Richardson Ilya Shpitser Jin Tian -- Robin Evans Statistical Laboratory University of Cambridge blog: itsastatlife.blogspot.com web: www.statslab.cam.ac.uk/~rje42 <http://www.stat.washington.edu/~rje42> Causal Inference Workshop July 15th: http://www.statslab.cam.ac.uk/~rje42/uai13/main.htm
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