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Characterizing and learning equivalence classes of causal DAGs under interventions

Author(s)
Yang, Karren Dai; Katcoff, Abigail; Uhler, Caroline
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
Yang, Karren D. et al. "Characterizing and learning equivalence classes of causal DAGs under interventions." Proceedings of the 35th International Conference on Machine Learning, July 2018, Stockholm, Sweden, Proceedings of Machine Learning Research, 2018. © 2020 The Authors and PMLR
Date issued
2018
URI
https://hdl.handle.net/1721.1/130121
Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Journal
Proceedings of the 35th International Conference on Machine Learning
Publisher
Proceedings of Machine Learning Research
Citation
Yang, Karren Dai, Katcoff, Abigail and Uhler, Caroline. 2018. "Characterizing and learning equivalence classes of causal DAGs under interventions." Proceedings of the 35th International Conference on Machine Learning.
Version: Final published version

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