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A Gentle Introduction to the Dirichlet Process, the Beta Process and Bayesian Nonparametrics

, and . (2015)

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Inferring ground truth from multi-annotator ordinal data: a probabilistic approach, and . CoRR, (2013)Approximate inference by Markov chains on union spaces., , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)Collapsed Variational Inference for HDP, , and . Advances in Neural Information Processing Systems (NIPS), (2008)Beam Sampling for the Infinite Hidden Markov Model, , , and . Proceedings of the International Conference on Machine learning (ICML), (2008)On Big Data Learning for Small Data Problems.. KDD, page 3. ACM, (2018)Inference Trees: Adaptive Inference with Exploration, , , , , , and . (2018)cite arxiv:1806.09550.Bayesian Learning via Stochastic Gradient Langevin Dynamics., and . ICML, page 681-688. Omnipress, (2011)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)Mix & Match Agent Curricula for Reinforcement Learning., , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1095-1103. PMLR, (2018)