Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery

Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kıcıman, Peng Cui, Aapo Hyvärinen; Proceedings of the 2020 KDD Workshop on Causal Discovery, PMLR 127:1-3

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Continuous Treatment Effect Estimation via Generative Adversarial De-confounding

Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu; Proceedings of the 2020 KDD Workshop on Causal Discovery, PMLR 127:4-22

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Predictive and Causal Implications of using Shapley Value for Model Interpretation

Sisi Ma, Roshan Tourani; Proceedings of the 2020 KDD Workshop on Causal Discovery, PMLR 127:23-38

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Hi-CI: Deep Causal Inference in High Dimensions

Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff; Proceedings of the 2020 KDD Workshop on Causal Discovery, PMLR 127:39-61

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Learning Latent Causal Structures with a Redundant Input Neural Network

Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu; Proceedings of the 2020 KDD Workshop on Causal Discovery, PMLR 127:62-91

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