Ordering-Based Causal Structure Learning in the Presence of Latent Variables

Ordering-Based Causal Structure Learning in the Presence of Latent Variables

We consider the task of learning a causal graph in the presence of latent confounders given i.i.d.samples from the model. While current algorithms for causal structure discovery in the presence of latent confounders are constraint-based, we here propose a hybrid approach. We prove that under assumpt...

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Bibliographic Details
Main Authors: Bernstein, Daniel Irving (Author), Saeed, Basil (Basil N.) (Author), Squires, Chandler (Chandler B.) (Author), Uhler, Caroline (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor)
Format: Article
Language:English
Published: International Machine Learning Society, 2021-04-12T13:51:44Z.
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