Vol-1273⫷ Vol-1274 ⫸Vol-1275
urn:nbn:de:0074-1274-4

Copyright © 2014 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

UAI2014CI
UAI 2014 Workshop on Causal Inference: Learning and Prediction

Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction
co-located with 30th Conference on Uncertainty in Artificial Intelligence ( UAI 2014 )

Quebec City, Canada, July 27, 2014 .

Edited by

Joris M. Mooij *
Dominik Janzing
Jonas Peters *
Tom Claassen
Antti Hyttinen *

* University of Amsterdam , Informatics Institute, Amsterdam, The Netherlands
** Max Planck Institute for Intelligent Systems , Tübingen, Germany
*** ETH Zürich Seminar for Statistics, Zürich, Switzerland
**** Radboud University Nijmegen , Institute for Computing and Information Sciences (iCIS), Nijmegen, The Netherlands
***** California Institute of Technology , Division of the Humanities and Social Sciences, California, USA

Table of Contents

Preface

Full papers

How Occam's Razor Provides a Neat Definition of Direct Causation 1-10
Alexander Gebharter, Gerhard Schurz
Constructing Separators and Adjustment Sets in Ancestral Graphs 11-24
Benito van der Zander, Maciej Liśkiewicz, Johannes Textor
Propensity Score Matching for Causal Inference with Relational Data 25-34
David Arbour, Katerina Marazopoulou, Dan Garant, David Jensen
Type-II Errors of Independence Tests Can Lead to Arbitrarily Large Errors in Estimated Causal Effects: An Illustrative Example 35-42
Nicholas Cornia, Joris M. Mooij
Toward Learning Graphical and Causal Process Models 43-48
Christopher Meek

Abstracts

On Causal Explanations of Quantum Correlations (abstract) 49
Robert W. Spekkens
Generalizability of Causal and Statistical Relations (abstract) 51-52
Elias Bareinboim
Estimating Causal Effects by Bounding Confounding (abstract) 53
Philipp Geiger, Dominik Janzing, Bernhard Schölkopf

Additional Material

The entire proceedings can be downloaded as a single PDF file .

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2014-10-29: submitted by Joris M. Mooij
2014-10-29 : published on CEUR-WS.org | valid HTML5 |