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Nonparametric Bayesian Models for Neural Data.. Brown University, USA, (2007)Black-Box Policy Search with Probabilistic Programs., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1195-1204. JMLR.org, (2016)Inference Networks for Sequential Monte Carlo in Graphical Models., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 3040-3049. JMLR.org, (2016)The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling., , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 660-668. JMLR.org, (2014)Particle Gibbs with Ancestor Sampling for Probabilistic Programs., , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)A New Approach to Probabilistic Programming Inference., , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 1024-1032. JMLR.org, (2014)Interpreting Lion Behaviour as Probabilistic Programs., , , , and . UAI, AUAI Press, (2017)Super-Sampling with a Reservoir., , and . UAI, AUAI Press, (2016)Modeling Neural Population Spiking Activity with Gibbs Distributions., , and . NIPS, page 1537-1544. (2005)Asynchronous Anytime Sequential Monte Carlo., , , and . NIPS, page 3410-3418. (2014)