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ORCIDCFA@UAI 2016: Jersey City, USA
- Frederick Eberhardt, Elias Bareinboim, Marloes H. Maathuis, Joris M. Mooij, Ricardo Silva:
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), Jersey City, USA, June 29, 2016. CEUR Workshop Proceedings 1792, CEUR-WS.org 2017
Invited Papers
- Richard Scheines, Joseph D. Ramsey:
Measurement Error and Causal Discovery. 1-7 - Benjamin C. Jantzen:
Dynamical Kinds and their Discovery. 8-17
Contributed Papers
- Nathan Kallus:
Causal Inference by Minimizing the Dual Norm of Bias: Kernel Matching & Weighting Estimators for Causal Effects. 18-28 - Nuaman Asbeh, Boaz Lerner:
Pairwise Cluster Comparison for Learning Latent Variable Models. 29-38 - Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos:
Marginal Causal Consistency in Constraint-based Causal Learning. 39-47 - Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft:
Separating Sparse Signals from Correlated Noise in Binary Classification. 48-58 - Sofia Triantafillou, Ioannis Tsamardinos:
Score-based vs Constraint-based Causal Learning in the Presence of Confounders. 59-67
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