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ORCIDCAWS 2021: Minneapolis, MN, USA
- Sisi Ma, Erich Kummerfeld:
Causal Analysis Workshop Series, CAWS 2021, Minneapolis, Minnesota, USA, July 16, 2021. Proceedings of Machine Learning Research 160, PMLR 2021 - Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. 1-4 - Ksenia Gasnikova, Olivier Allais, Michèle Sebag:
Towards causal modeling of nutritional outcomes. 5-19 - Brittany Stevenson, Erich Kummerfeld, Jennifer Merrill:
Applying Causal Discovery to Intensive Longitudinal Data. 20-29 - Will Glad, Thomas Woolf:
Path Signature Area-Based Causal Discovery in Coupled Time Series. 21-38 - Aruna Jammalamadaka, Dana Warmsley, Tsai-Ching Lu:
Causal Abstraction Via Emergence for Predicting Bilateral Trade. 39-51 - Erich Kummerfeld, Thomas Woolf, Will Glad, Michèle Sebag, Sisi Ma:
Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion. 52-54
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