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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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Advances in exact Bayesian structure discovery in Bayesian networks.. CoRR, (2012)Recombination Systems., , and . Theory Is Forever, volume 3113 of Lecture Notes in Computer Science, page 159-169. Springer, (2004)Pruning Rules for Learning Parsimonious Context Trees., and . UAI, AUAI Press, (2016)Learning Chordal Markov Networks by Dynamic Programming., , and . NIPS, page 2357-2365. (2014)Error-Correcting and Verifiable Parallel Inference in Graphical Models., , and . AAAI, page 10194-10201. AAAI Press, (2020)Counting and Sampling Markov Equivalent Directed Acyclic Graphs., and . AAAI, page 7984-7991. AAAI Press, (2019)Trustworthy Monte Carlo., , and . NeurIPS, (2022)Partial Order MCMC for Structure Discovery in Bayesian Networks, , and . CoRR, (2012)Finding Optimal Bayesian Networks with Local Structure., , and . PGM, volume 72 of Proceedings of Machine Learning Research, page 451-462. PMLR, (2018)Partitioning into Sets of Bounded Cardinality.. IWPEC, volume 5917 of Lecture Notes in Computer Science, page 258-263. Springer, (2009)