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Beam Sampling for the Infinite Hidden Markov Model, , , and . Proceedings of the International Conference on Machine learning (ICML), (2008)Factorial hidden Markov models, , and . Machine learning, 29 (2-3): 245--273 (1997)Parameter Estimation for Linear Dynamical Systems, and . CRG-TR-96-2. Department of Computer Science, University of Toronto, (Feb 22, 1996)GPflow: A Gaussian process library using TensorFlow, , , , , , , and . (2016)cite arxiv:1610.08733.Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms, and . CoRR, (2012)An Introduction to Variational Methods for Graphical Models., , , and . Mach. Learn., 37 (2): 183-233 (1999)Kronecker Graphs: An Approach to Modeling Networks., , , , and . CoRR, (2008)Imitation networks: Few-shot learning of neural networks from scratch., , , , and . CoRR, (2018)A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series., , , , and . RECOMB, volume 5541 of Lecture Notes in Computer Science, page 201-216. Springer, (2009)Latent-Space Variational Bayes., , and . IEEE Trans. Pattern Anal. Mach. Intell., 30 (12): 2236-2242 (2008)