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Combining Experiments to Discover Linear Cyclic Models with Latent Variables., , and . AISTATS, volume 9 of JMLR Proceedings, page 185-192. JMLR.org, (2010)Introduction to the foundations of causal discovery.. Int. J. Data Sci. Anal., 3 (2): 81-91 (2017)Approximate Causal Abstractions., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 606-615. AUAI Press, (2019)Noisy-OR Models with Latent Confounding., , and . UAI, page 363-372. AUAI Press, (2011)Approximate Causal Abstraction, , and . (2019)cite arxiv:1906.11583Comment: Appears in UAI-2019.Controlling for discrete unmeasured confounding in nonlinear causal models., , and . CoRR, (2024)Multi-Level Cause-Effect Systems., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 361-369. JMLR.org, (2016)ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions., , , , and . IJCAI, page 1488-1494. ijcai.org, (2019)Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models, and . Minds and Machines, 21 (3): 389-410 (2011)Noisy-OR Models with Latent Confounding, , and . CoRR, (2012)