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Sequential Monte Carlo for model selection and estimation of neural networks., и . ICASSP, стр. 3410-3413. IEEE, (2000)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning, , и . (2010)cite arxiv:1012.2599.Linear and Parallel Learning of Markov Random Fields., , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 199-207. JMLR.org, (2014)The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously., , , , , и . CoRL, том 78 из Proceedings of Machine Learning Research, стр. 207-216. PMLR, (2017)Portfolio Allocation for Bayesian Optimization., , и . UAI, стр. 327-336. AUAI Press, (2011)Distributed Parameter Estimation in Probabilistic Graphical Models., , и . NIPS, стр. 1700-1708. (2014)Predicting Parameters in Deep Learning., , , , и . NIPS, стр. 2148-2156. (2013)Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs., и . NIPS, стр. 491-498. (2005)Cortical microcircuits as gated-recurrent neural networks., , , , и . NIPS, стр. 272-283. (2017)Fast Computational Methods for Visually Guided Robots., , , и . ICRA, стр. 138-143. IEEE, (2005)