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, Saeed, Basil(Basil N.), Squires, Chandler(Chandler B.), Uhler, Caroline
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: International Machine Learning Society 2021
Online Access:https://hdl.handle.net/1721.1/130442

Internet

https://hdl.handle.net/1721.1/130442

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