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Volume 104: The 2019 ACM SIGKDD Workshop on Causal Discovery, 05 August 2019, Anchorage, Alaska, USA
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Editors: Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kıcıman Peng Cui, Aapo Hyvärinen
Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types
PMLR 104:4-21
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Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models
PMLR 104:50-58
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Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data
PMLR 104:59-77
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Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers
PMLR 104:78-99
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Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs
PMLR 104:100-133
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