=Paper=
{{Paper
|id=Vol-1504/preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1504/preface.pdf
|volume=Vol-1504
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1504/preface.pdf</pdf>
<pre>
Preface

We are pleased to present the Proceedings of the UAI 2015 Workshop on Advances in Causal Inference, held in
Amsterdam, the Netherlands, on July 16, 2015. The workshop was part of the 31st Conference on Uncertainty in
Artificial Intelligence (UAI 2015), and is the fourth in a series of UAI workshops on causality. Previous editions
include the Causal Structure Learning workshop (Catalina Island, UAI 2012), the Approaches to Causal Structure
Learning workshop (Seattle, UAI 2013), and the workshop on Causal Inference: Learning and Prediction (Quebec
City, UAI 2014).
The aim of the workshop series is to bring together researchers from different backgrounds, interested in tackling
the challenges of causal inference from experimental and observational. The current edition sought to look
into the challenges posed by causal inference on less standard (more realistic) data and generative models. in
particular focusing on novel applications of causal methodologies, such as point processes, relational structures,
and social networks. We especially encouraged contributions describing practical applications of causal methods.
In total we received 14 submissions, each of which was peer-reviewed by two or more program committee
members. We accepted 6 for oral presentations, and another 7 as poster. In addition we were fortunate with
two very interesting invited talks by Elizabeth Ogburn and Vanessa Didelez. See also the added material on the
workshop website:

                    www.homepages.ucl.ac.uk/~ucgtrbd/uai2015_causal/papers.html

We want to thank the authors and presenters for their contribution, and the members of the program committee
for their reviewing service. We also want to thank the organizing committee of the main UAI 2015 conference,
in particular Jin Tian, Irina Rish, and Joris Mooij, for their assistance. We also want to thank Joris Mooij for
his support in his role as chair of the previous Causal Inference: Learning and Prediction workshop. Finally,
many thanks to the CEUR-WS team for hosting these proceedings.

October 2015                                                                                Ricardo Silva (chair)
                                                                                                   Ilya Shpitser
                                                                                                   Robin Evans
                                                                                                   Jonas Peters
                                                                                                  Tom Claassen
Organizing Committee

Ricardo Silva (chair)   University College London
Ilya Shpitser           Johns Hopkins University
Robin Evans             University of Oxford
Jonas Peters            Max Planck Institute for Intelligent Systems
Tom Claassen            Radboud University Nijmegen

Program Committee

Nicholas Cornia          University of Amsterdam
Frederick Eberhardt      Caltech
Imme Ebert-Uphoff        Colorado State University
Jan Ernest               ETH Zürich
Aram Galstyan            University of Southern California
Kathleen Marie Gates     University of North Carolina at Chapel Hill
Philipp Geiger           Max Planck Institute for Intelligent Systems
Antti Hyttinen           Helsinki Institute for Information Technology
Dominik Janzig           Max Planck Institute for Intelligent Systems
Markus Kalisch           ETH Zürich
Jan Lemeire              Vrije Universiteit Brussel
Chris Meek               Microsoft Research
Preetam Nandy            ETH Zürich
Sergey Plis              The Mind Research Network
Thomas Richardson        University of Washington
James Robins             Harvard University
Eleni Sgouritsa          Max Planck Institute for Intelligent Systems
Ioannis Tsamardinos      University of Crete
Greg Ver Steeg           University of Southern California
Jiji Zhang               Lingnan University
Kun Zhang                Carnegie Mellon University

</pre>