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Volume 127: Proceedings of the 2020 KDD Workshop on Causal Discovery, 24 August 2020, San Diego, CA, USA

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Editors: Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kıcıman, Peng Cui, Aapo Hyvärinen

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Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery

Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kıcıman, Peng Cui, Aapo Hyvärinen; PMLR 127:1-3

Continuous Treatment Effect Estimation via Generative Adversarial De-confounding

Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu; PMLR 127:4-22

Predictive and Causal Implications of using Shapley Value for Model Interpretation

Sisi Ma, Roshan Tourani; PMLR 127:23-38

Hi-CI: Deep Causal Inference in High Dimensions

Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff; PMLR 127:39-61

Learning Latent Causal Structures with a Redundant Input Neural Network

Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu; PMLR 127:62-91

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