Proceedings of Machine Learning Research

Volume 160: Causal Analysis Workshop Series, 16 July 2021, Minneapolis, Minnesota, USA

Editors: Sisi Ma, Erich Kummerfeld

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Causal Discovery with Multi-Domain LiNGAM for Latent Factors

Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao; Proceedings of The 2021 Causal Analysis Workshop Series, PMLR 160:1-4

Towards causal modeling of nutritional outcomes

Ksenia Gasnikova, Olivier Allais, Michèle Sebag; Proceedings of The 2021 Causal Analysis Workshop Series, PMLR 160:5-19

Applying Causal Discovery to Intensive Longitudinal Data

Brittany Stevenson, Erich Kummerfeld, Jennifer Merrill; Proceedings of The 2021 Causal Analysis Workshop Series, PMLR 160:20-29

Path Signature Area-Based Causal Discovery in Coupled Time Series

Will Glad, Tom Woolf; Proceedings of The 2021 Causal Analysis Workshop Series, PMLR 160:21-38

Causal Abstraction Via Emergence for Predicting Bilateral Trade

Aruna Jammalamadaka, Dana Warmsley, Tsai-Ching Lu; Proceedings of The 2021 Causal Analysis Workshop Series, PMLR 160:39-51

Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion

Erich Kummerfeld, Tom Woolf, Will Glad, Michèle Sebag, Sisi Ma; Proceedings of The 2021 Causal Analysis Workshop Series, PMLR 160:52-54