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Hierarchical Latent Dictionaries for Models of Brain Activation., , , and . AISTATS, volume 22 of JMLR Proceedings, page 409-421. JMLR.org, (2012)Modeling the complex dynamics and changing correlations of epileptic events., , and . Artif. Intell., (2014)Stochastic Gradient MCMC Methods for Hidden Markov Models., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2265-2274. PMLR, (2017)Learning the Parameters of Determinantal Point Process Kernels., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1224-1232. JMLR.org, (2014)Bayesian nonparametric learning of complex dynamical phenomena.. Massachusetts Institute of Technology, Cambridge, MA, USA, (2009)ndltd.org (oai:dspace.mit.edu:1721.1/55111).Concept Modeling with Superwords, , and . CoRR, (2012)Bayesian nonparametric models of sparse and exchangeable random graphs., and . CoRR, (2014)Disentangled VAE Representations for Multi-Aspect and Missing Data., , and . CoRR, (2018)Expectation-Maximization for Learning Determinantal Point Processes., , , and . NIPS, page 3149-3157. (2014)Irreversible samplers from jump and continuous Markov processes., , , and . Stat. Comput., 29 (1): 177-202 (2019)