| Vol-1504 urn:nbn:de:0074-1504-0 Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# UAI2015-ACI
UAI 2015 Workshop on Advances in Causal Inference

### Proceedings of the UAI 2015 Workshop on Advances in Causal Inference
co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015)

### Amsterdam, The Netherlands, July 16, 2015.

Edited by

### Ricardo Silva *
Ilya Shpitser **
Robin Evans ***
Jonas Peters ****
Tom Claassen *****

* University College London, Department of Statistical Science, London, UK
** Johns Hopkins University, Department of Computer Science, Baltimore, USA
*** University of Oxford, Department of Statistics, Oxford, UK
**** Max Planck Institute for Intelligent Systems, Empirical Inference Department, Tübingen, Germany
***** Radboud University Nijmegen, Institute for Computing and Information Sciences (iCIS), Nijmegen, The Netherlands

## Table of Contents

- Preface

### Full papers

- Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information (incl. supplement) 1-29
  Séverine Affeldt, Hervé Isambert
- An Empirical Study of the Simplest Causal Prediction Algorithm 30-39
  Jerome Cremers, Joris Mooij
- Causal Reasoning for Events in Continuous Time: A Decision - Theoretic Approach (invited talk) 40-45
  Vanessa Didelez
- Recovering from Selection Bias using Marginal Structure in Discrete Models 46-55
  Robin J. Evans and Vanessa Didelez
- Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning 56-65
  Sanghack Lee, Vasant Honavar
- Learning the Structure of Causal Models with Relational and Temporal Dependence 66-75
  Katerina Marazopoulou, Marc Meier, David Jensen
- Query-Answer Causality in Databases: Abductive Diagnosis and View Updates 76-85
  Babak Salimi, Leopoldo Bertossi

### Abstracts

- Exploiting Causality for Efficient Monitoring in POMDPs 86
  Stefano V. Albrecht, Subramanian Ramamoorthy
- An Algorithm to Compute the Likelihood Ratio Test Statistic of the Sharp Null Hypothesis for Compliers 87
  Wen Wei Loh, Thomas S. Richardson
- Causal and Statistical Inference with Social Network Data: Massive Challenges and Meager Progress (invited talk) 88
  Elizabeth Ogburn
- Inference of Cause and Effect with Unsupervised Inverse Regression 89
  Eleni Sgouritsa, Dominik Janzing, Philipp Hennig, Bernhard Schölkopf
- Advances in Integrative Causal Analysis 90-91
  Ioannis Tsamardinos

2015-11-06: submitted by Tom Claassen, metadata incl. bibliographic data published under Creative Commons CC0
2015-11-08: published on CEUR-WS.org |valid HTML5|