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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
; Proceedings of 2018 ACM SIGKDD Workshop on Causal Disocvery, PMLR 92:1-3
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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
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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
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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
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