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Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo.

, , , и . AAAI, стр. 1431-1438. AAAI Press, (2018)

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Matti Koivisto

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Advances in exact Bayesian structure discovery in Bayesian networks.. CoRR, (2012)Pruning Rules for Learning Parsimonious Context Trees., и . UAI, AUAI Press, (2016)Recombination Systems., , и . Theory Is Forever, том 3113 из Lecture Notes in Computer Science, стр. 159-169. Springer, (2004)Learning Chordal Markov Networks by Dynamic Programming., , и . NIPS, стр. 2357-2365. (2014)Counting and Sampling Markov Equivalent Directed Acyclic Graphs., и . AAAI, стр. 7984-7991. AAAI Press, (2019)Error-Correcting and Verifiable Parallel Inference in Graphical Models., , и . AAAI, стр. 10194-10201. AAAI Press, (2020)Trustworthy Monte Carlo., , и . NeurIPS, (2022)Finding Optimal Bayesian Networks with Local Structure., , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 451-462. PMLR, (2018)Estimating the Permanent by Nesting Importance Sampling., и . ICML, OpenReview.net, (2024)Layering-MCMC for Structure Learning in Bayesian Networks., и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 839-848. AUAI Press, (2020)