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A Bayesian Approach for Estimating Causal Effects from Observational Data.

, , , and . AAAI, page 5395-5402. AAAI Press, (2020)

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A logical approach to context-specific independence., , , , and . Ann. Pure Appl. Log., 170 (9): 975-992 (2019)Bayesian Discovery of Linear Acyclic Causal Models, and . CoRR, (2012)Binary Independent Component Analysis via Non-stationarity., , and . CoRR, (2021)Maximal ancestral graph structure learning via exact search., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1237-1247. AUAI Press, (2021)Learning Optimal Cyclic Causal Graphs from Interventional Data., , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 365-376. PMLR, (2020)A Hardware Perspective to Evaluating Probabilistic Circuits., , , , , and . PGM, volume 186 of Proceedings of Machine Learning Research, page 349-360. PMLR, (2022)Noisy-OR Models with Latent Confounding, , and . CoRR, (2012)Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach., , and . Int. J. Approx. Reason., (2020)Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables., , and . UAI, page 387-396. AUAI Press, (2012)Discovering Causal Relations in the Presence of Latent Confounders.. University of Helsinki, Finland, (2013)base-search.net (ftunivhelsihelda:oai:helda.helsinki.fi:10138/38876).