SIGKDD(KDD) 2019 论文列表Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019. |
Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs.
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers.
Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data.
Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models.
Improve User Retention with Causal Learning.
Scaling Causal Inference in Additive Noise Models.
Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types.
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.