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Adaptively Truncating Backpropagation Through Time to Control Gradient Bias.

, , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 799-808. AUAI Press, (2019)

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oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 119-128. PMLR, (2018)Stochastic Gradient MCMC for State Space Models., , , and . CoRR, (2018)Interpretable VAEs for nonlinear group factor analysis., , , and . CoRR, (2018)Bayesian Structure Learning for Stationary Time Series., , and . UAI, page 872-881. AUAI Press, (2015)Using Hierarchical Change Mining to Manage Network Security Policy Evolution., , , , and . Hot-ICE, USENIX Association, (2011)A unifying representation for a class of dependent random measures., , , and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 20-28. JMLR.org, (2013)Stochastic Gradient MCMC Methods for Hidden Markov Models., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2265-2274. PMLR, (2017)Learning Insulin-Glucose Dynamics in the Wild., , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 172-197. PMLR, (2020)Slice sampling normalized kernel-weighted completely random measure mixture models., and . NIPS, page 2249-2257. (2012)A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models., and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (2): 359-371 (2015)