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Bayesian Nonparametrics for Sparse Dynamic Networks.

, , , , and . ECML/PKDD (5), volume 13717 of Lecture Notes in Computer Science, page 191-206. Springer, (2022)

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Approximate inference by Markov chains on union spaces., , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)Inferring ground truth from multi-annotator ordinal data: a probabilistic approach, and . CoRR, (2013)Inference Trees: Adaptive Inference with Exploration, , , , , , and . (2018)cite arxiv:1806.09550.On Big Data Learning for Small Data Problems.. KDD, page 3. ACM, (2018)Semiparametric latent factor models., , and . AISTATS, Society for Artificial Intelligence and Statistics, (2005)Bayesian Learning via Stochastic Gradient Langevin Dynamics., and . ICML, page 681-688. Omnipress, (2011)Mix & Match Agent Curricula for Reinforcement Learning., , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1095-1103. PMLR, (2018)Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes., and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 575-584. PMLR, (2018)An Analysis of Categorical Distributional Reinforcement Learning., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 29-37. PMLR, (2018)Learning Label Trees for Probabilistic Modelling of Implicit Feedback., and . NIPS, page 2825-2833. (2012)