Schedule
8:55-9:00 - Opening Comments
9:00-10:20 - Session 1
9:00 | Causal and Statistical Inference with Social Network Data: Massive Challenges and Meager Progress Elizabeth Ogburn (invited talk) [Slides] |
9:50 | Learning the Structure of Causal Models with Relational and Temporal Dependence Katerina Marazopoulou, Marc Meier and David Jensen [Slides] |
10:20-10:50 - Coffee
10:50-12:20 - Session 2
10:50 | Query-Answer Causality in Databases: Abductive Diagnosis and View Updates Babak Salimi and Leopoldo Bertossi [Slides] |
11:20 |
Causal Interpretation Rules for Encoding and Decoding Models in Neuroimaging Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball and Moritz Grosse-Wentrup [Slides] |
11:50 |
Inference of Cause and Effect with Unsupervised Inverse Regression Eleni Sgouritsa, Dominik Janzing, Philipp Hennig and Bernhard Schölkopf [Slides] |
12:20-2:10 - Lunch
2:10-3:00 - Session 3
2:10 |
Causal Reasoning for Events in Continuous Time: A Decision-Theoretic Approach Vanessa Didelez (invited talk) [Slides] |
3:00-4:00 - Poster Session with Coffee
1. |
Exploiting Causality for Efficient Monitoring in POMDPs Stefano V. Albrecht and Subramanian Ramamoorthy |
2. |
An Empirical Study of the Simplest Causal Prediction Algorithm Jerome Cremers and Joris Mooij |
3. |
Visual Causal Feature Learning Krzysztof Chalupka, Pietro Perona and Frederick Eberhardt |
4. |
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning Sanghack Lee and Vasant Honavar |
5. |
Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information Séverine Affeldt and Hervé Isambert |
6. |
An Algorithm to Compute the Likelihood Ratio Test Statistic of the Sharp Null Hypothesis for Compliers Wen Wei Loh and Thomas S. Richardson |
7. |
Segregated Graphs and Marginals of Chain Graph Models Ilya Shpitser |
4:00-5:00 - Session 4
4:00 |
Recovering from Selection Bias using Marginal Structure in Discrete Models Robin J. Evans and Vanessa Didelez [Slides] |
4:30 |
Advances in Integrative Causal Analysis Ioannis Tsamardinos [Slides] |