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08431 Open Problems - Moderately Exponential Time Algorithms.

, , , , , , , , and . Moderately Exponential Time Algorithms, volume 08431 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2008)

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Partial Order MCMC for Structure Discovery in Bayesian Networks, , and . CoRR, (2012)Partitioning into Sets of Bounded Cardinality.. IWPEC, volume 5917 of Lecture Notes in Computer Science, page 258-263. Springer, (2009)Finding Optimal Bayesian Networks with Local Structure., , and . PGM, volume 72 of Proceedings of Machine Learning Research, page 451-462. PMLR, (2018)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)Exact Structure Discovery in Bayesian Networks with Less Space., and . UAI, page 436-443. AUAI Press, (2009)Treedy: A Heuristic for Counting and Sampling Subsets., and . UAI, AUAI Press, (2013)Revisiting Bayesian network learning with small vertex cover., and . UAI, volume 216 of Proceedings of Machine Learning Research, page 819-828. PMLR, (2023)Trustworthy Monte Carlo., , and . NeurIPS, (2022)Layering-MCMC for Structure Learning in Bayesian Networks., and . UAI, volume 124 of Proceedings of Machine Learning Research, page 839-848. AUAI Press, (2020)