Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems-Reference-Cited by-同舟云学术

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems

Published:2024-05-13 Issue: Volume:13 Page:4607-4617
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Huang Zijie¹^ORCID,Hwang Jeehyun¹^ORCID,Zhang Junkai¹^ORCID,Baik Jinwoo¹^ORCID,Zhang Weitong¹^ORCID,Wodarz Dominik²^ORCID,Sun Yizhou¹^ORCID,Gu Quanquan¹^ORCID,Wang Wei¹^ORCID

Affiliation:

1. Computer Science Department, University of California, Los Angeles, Los Angeles, CA, USA

2. Department of Ecology, Behavior & Evolution, University of California, San Diego, San Diego, CA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3648148

Reference45 articles.

1. Guangji Bai, Chen Ling, and Liang Zhao. 2022. Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. arXiv preprint arXiv:2205.10664 (2022).

2. Alexis Bellot and Mihaela Van Der Schaar. 2021. Policy analysis using synthetic controls in continuous-time. In International Conference on Machine Learning. PMLR, 759--768.

3. Ioana Bica, Ahmed M Alaa, James Jordon, and Mihaela van der Schaar. 2020a. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. International Conference on Learning Representations (2020).

4. Ioana Bica, Ahmed M. Alaa, James Jordon, and Mihaela van der Schaar. 2020b. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26--30, 2020.

5. Thomas C Chalmers, Harry Smith Jr, Bradley Blackburn, Bernard Silverman, Biruta Schroeder, Dinah Reitman, and Alexander Ambroz. 1981. A method for assessing the quality of a randomized control trial. Controlled clinical trials, Vol. 2, 1 (1981), 31--49.