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UAI 2014

Schedule

8:15-9:00 - Breakfast

9:00-10:25 - Session 1

9:00 On causal explanations of quantum correlations
Robert Spekkens (invited talk)
9:55 Constructing Separators and Adjustment Sets in Ancestral Graphs
Benito van der Zander, Maciej Liśkiewicz, Johannes Textor

10:30-11:00 - Coffee

11:00-12:10 - Session 2

11:00 Type-II errors of independence tests can lead to arbitrarily large errors in estimated causal effects: an illustrative example
Nicholas Cornia, Joris M. Mooij
11:35 Estimating Causal Effects by Bounding Confounding
Philipp Geiger, Dominik Janzing, Bernhard Schölkopf

12:10-2:00 - Lunch

2:00-3:30 - Session 3

2:00 Generalizability of Causal and Statistical Relations
Elias Bareinboim (invited talk)
2:55 How Occam's Razor Provides a Neat Definition of Direct Causation
Alexander Gebharter, Gerhard Schurz

3:30-4:00 - Coffee

4:00-5:10 - Session 4

4:00 Improving Propensity Score Matching for Causal Inference on Relational Data
David Arbour, Katerina Marazopoulou, David Jensen
4:35 Toward Learning Graphical and Causal Process Models
Christopher Meek

5:10 - End