Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery

Thuc Duy Le, Jiuyong Li, Greg Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash; Proceedings of The KDD'21 Workshop on Causal Discovery, PMLR 150:1-2

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Interactive Causal Structure Discovery in Earth System Sciences

Laila Melkas, Rafael Savvides, Suyog H. Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki; Proceedings of The KDD'21 Workshop on Causal Discovery, PMLR 150:3-25

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A Recursive Markov Boundary-Based Approach to Causal Structure Learning

Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash; Proceedings of The KDD'21 Workshop on Causal Discovery, PMLR 150:26-54

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Estimating individual-level optimal causal interventions combining causal models and machine learning models

Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu; Proceedings of The KDD'21 Workshop on Causal Discovery, PMLR 150:55-77

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Dirac Delta Regression: Conditional Density Estimation with Clinical Trials

Eric V. Strobl, Shyam Visweswaran; Proceedings of The KDD'21 Workshop on Causal Discovery, PMLR 150:78-125

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