Workshop Proceedings
The proceedings have been published through the CEUR Workshop Proceedings 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 aimed to provide interested readers with additional detail on the presentations at the workshop. The proceedings of this workshop are separate (see above).Causal Discovery with Latent Variables: the Measurement Problem (invited talk)
Richard Scheines
Discovering Dynamical Kinds (invited talk)
Benjamin Jantzen
Score-based vs Constraint-based Causal Learning in the Presence of Confounders
Sofia Triantafillou and Ioannis Tsamardinos
Causal Inference by Minimizing the Dual Norm of Bias: Kernel Matching & Weighting Estimators for Causal Effects
Nathan Kallus
Separating Sparse Signals from Correlated Noise in Binary Classification
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert and Marius Kloft
Marginal Causal Consistency in Constraint-based Causal Learning
Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou and Ioannis Tsamardinos
Causal Inference for Recommendation
Dawen Liang, Laurent Charlin and David Blei
Pairwise Cluster Comparison for Learning Latent Variable Models
Nuaman Asbeh and Boaz Lerner
Split-door Criterion for Causal Identification: Natural Experiments with Testable Assumptions
Amit Sharma, Jake Hofman and Duncan Watts
Validating Causal Models
Dustin Tran, Francisco J. R. Ruiz, Susan Athey and David M. Blei