Important Dates

Call For Papers






UAI 2015

Advances in Causal Inference
Thursday July 16th, 2015
Amsterdam, Netherlands

Advances in Causal Inference was a workshop that took place immediately after the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015).

Workshop Proceedings

The proceedings have been published through the CEUR Workshop Proceedings series and are now available at this link. We also provide a BiBTeX file for convenience.

Draft Papers and Abstracts

The papers and abstracts below are drafts. It includes some abstracts not present in the proceedings but presented at the workshop.

Causal and Statistical Inference with Social Network Data: Massive Challenges and Meager Progress (invited paper)

Elizabeth Ogburn


Causal Reasoning for Events in Continuous Time: A Decision-Theoretic Approach (invited paper)

Vanessa Didelez


Learning the Structure of Causal Models with Relational and Temporal Dependence

Katerina Marazopoulou, Marc Meier and David Jensen

PDF file (UAI Proceedings)

Query-Answer Causality in Databases: Abductive Diagnosis and View-Updates

Babak Salimi and Leopoldo Bertossi


Causal Interpretation Rules for Encoding and Decoding Models in Neuroimaging

Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball and Moritz Grosse-Wentrup


Inference of Cause and Effect with Unsupervised Inverse Regression

Eleni Sgouritsa, Dominik Janzing, Philipp Hennig and Bernhard Schölkopf


Exploiting Causality for Efficient Monitoring in POMDPs

Stefano V. Albrecht and Subramanian Ramamoorthy


An Empirical Study of the Simplest Causal Prediction Algorithm

Jerome Cremers and Joris Mooij


Visual Causal Feature Learning

Krzysztof Chalupka, Pietro Perona and Frederick Eberhardt

Paper (UAI Proceedings)

Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning

Sanghack Lee and Vasant Honavar


Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information

Séverine Affeldt and Hervé Isambert

Paper (UAI Proceedings)

An Algorithm to Compute the Likelihood Ratio Test Statistic of the Sharp Null Hypothesis for Compliers

Wen Wei Loh and Thomas S. Richardson

Paper (UAI Proceedings)

Segregated Graphs and Marginals of Chain Graph Models

Ilya Shpitser


Recovering from Selection Bias using Marginal Structure in Discrete Models

Robin J. Evans and Vanessa Didelez


Advances in Integrative Causal Analysis

Ioannis Tsamardinos