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An Introduction to MCMC for Machine Learning, , , и . Machine Learning, 50 (1--2): 5--43 (2003)A Tutorial on Particle Filtering and Smoothing : Fifteen years later, , и . (2008)Efficient Bayesian Inference for Generalized Bradley-Terry Models, и . (08.11.2010)Ranking in Contextual Multi-Armed Bandits., , и . CoRR, (2022)Reinforced Self-Training (ReST) for Language Modeling, , , , , , , , , и 4 other автор(ы). (2023)cite arxiv:2308.08998Comment: 23 pages, 16 figures.Sequential Monte Carlo Methods to Train Neural Network Models., , , и . Neural Comput., 12 (4): 955-993 (2000)On solving integral equations using Markov chain Monte Carlo methods., , и . Appl. Math. Comput., 216 (10): 2869-2880 (2010)Sequential Bayesian wavelet denoising., и . ISSPA, стр. 595-598. IEEE, (1999)Interacting Particle Markov Chain Monte Carlo., , , , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2616-2625. JMLR.org, (2016)Non-Reversible Parallel Tempering: an Embarassingly Parallel MCMC Scheme, , , и . (2019)cite arxiv:1905.02939Comment: 61 pages, 18 figures. The method is implemented in an open source probabilistic programming available at https://github.com/UBC-Stat-ML/blangSDK.