Papers
Download the entire Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction, published as CEUR Workshop Proceedings 1274. We also provide a BiBTeX file for convenience.
How Occam's Razor Provides a Neat Definition of Direct Causation
Alexander Gebharter, Gerhard Schurz
Constructing Separators and Adjustment Sets in Ancestral Graphs
Benito van der Zander, Maciej Liśkiewicz, Johannes Textor
Improving Propensity Score Matching for Causal Inference on Relational Data
David Arbour, Katerina Marazopoulou, David Jensen
Type-II errors of independence tests can lead to arbitrarily large errors in estimated causal effects: an illustrative example
Nicholas Cornia, Joris M. Mooij
Toward Learning Graphical and Causal Process Models
Christopher Meek
Estimating Causal Effects by Bounding Confounding
Philipp Geiger, Dominik Janzing, Bernhard Schölkopf