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 - researchr publication

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Frederick Eberhardt, Elias Bareinboim, Marloes Maathuis, Joris M. Mooij, Ricardo Silva, editors, 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. Volume 1792 of CEUR Workshop Proceedings, CEUR-WS.org, 2017. [doi]

Conference: uai2017

Abstract is missing.

Measurement Error and Causal DiscoveryRichard Scheines, Joseph Ramsey. 1-7 [doi]

Dynamical Kinds and their DiscoveryBenjamin C. Jantzen. 8-17 [doi]

Causal Inference by Minimizing the Dual Norm of Bias: Kernel Matching & Weighting Estimators for Causal EffectsNathan Kallus. 18-28 [doi]

Pairwise Cluster Comparison for Learning Latent Variable ModelsNuaman Asbeh, Boaz Lerner. 29-38 [doi]

Marginal Causal Consistency in Constraint-based Causal LearningAnna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos. 39-47 [doi]

Separating Sparse Signals from Correlated Noise in Binary ClassificationStephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft. 48-58 [doi]

Score-based vs Constraint-based Causal Learning in the Presence of ConfoundersSofia Triantafillou, Ioannis Tsamardinos. 59-67 [doi]

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