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Construction of Nonparametric Bayesian Models from Parametric Bayesian Equations. Advances in Neural Information Processing Systems (NIPS), (2009)Bayesian nonparametric models, и . Encyclopedia of Machine Learning, Springer, (2011)Compressibility and Generalization in Large-Scale Deep Learning, , , , и . (2018)cite arxiv:1804.05862Comment: 20 pages, 1 figure.Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach, , , , и . International Conference on Learning Representations, (2019)Random function priors for exchangeable arrays with applications to graphs and relational data., , , и . NIPS, стр. 1007-1015. (2012)Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data., , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1733-1742. PMLR, (2019)Dependent Indian Buffet Processes., , и . AISTATS, том 9 из JMLR Proceedings, стр. 924-931. JMLR.org, (2010)Construction of Nonparametric Bayesian Models from Parametric Bayes Equations.. NIPS, стр. 1392-1400. Curran Associates, Inc., (2009)