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Learning the Parameters of Determinantal Point Process Kernels., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1224-1232. JMLR.org, (2014)Stochastic Gradient MCMC Methods for Hidden Markov Models., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2265-2274. PMLR, (2017)Hierarchical Latent Dictionaries for Models of Brain Activation., , , and . AISTATS, volume 22 of JMLR Proceedings, page 409-421. JMLR.org, (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)Concept Modeling with Superwords, , and . CoRR, (2012)Irreversible samplers from jump and continuous Markov processes., , , and . Stat. Comput., 29 (1): 177-202 (2019)Learning Insulin-Glucose Dynamics in the Wild., , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 172-197. PMLR, (2020)Modeling the complex dynamics and changing correlations of epileptic events., , and . Artif. Intell., (2014)Stochastic Gradient MCMC for State Space Models., , , and . SIAM J. Math. Data Sci., 1 (3): 555-587 (2019)