Proceedings of Machine Learning Research

Volume 92: Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 20 August 2018, London, UK

Editors: Thuc Duy Le, Kun Zhang, Emre Kıcıman, Aapo Hyvärinen, Lin Liu

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Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery

Thuc Duy Le, Kun Zhang, Emre Kıcıman, Aapo Hyvärinen, Lin Liu; Proceedings of 2018 ACM SIGKDD Workshop on Causal Disocvery, PMLR 92:1-3

Automated Identification of Causal Moderators in Time-Series Data

Min Zheng, Jan Claassen, Samantha Kleinberg; Proceedings of 2018 ACM SIGKDD Workshop on Causal Disocvery, PMLR 92:4-22

Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding

Daniel Malinsky, Peter Spirtes; Proceedings of 2018 ACM SIGKDD Workshop on Causal Disocvery, PMLR 92:23-47

Evaluation of Causal Structure Learning Methods on Mixed Data Types

Vineet K. Raghu, Allen Poon, Panayiotis V. Benos; Proceedings of 2018 ACM SIGKDD Workshop on Causal Disocvery, PMLR 92:48-65

Causal Relationship Prediction with Continuous Additive Noise Models

Mandar Chaudhary, Nagiza F. Samatova; Proceedings of 2018 ACM SIGKDD Workshop on Causal Disocvery, PMLR 92:66-81