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Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models.

, , and . J. Mach. Learn. Res., (2017)

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An Entropy Search Portfolio for Bayesian Optimization., , , , and . CoRR, (2014)Unbounded Bayesian Optimization via Regularization., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1168-1176. JMLR.org, (2016)Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler., and . CoRR, (2019)Atomic Spatial Processes., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 248-256. JMLR.org, (2015)An approximation algorithm for labelled Markov processes: towards realistic approximation., , , and . QEST, page 54-62. IEEE Computer Society, (2005)Memory (and Time) Efficient Sequential Monte Carlo., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 514-522. JMLR.org, (2014)Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1351-1360. PMLR, (2019)Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains., , , , , and . DNA, volume 11648 of Lecture Notes in Computer Science, page 80-99. Springer, (2019)Painless Unsupervised Learning with Features., , , and . HLT-NAACL, page 582-590. The Association for Computational Linguistics, (2010)Entangled Monte Carlo., , and . NIPS, page 2735-2743. (2012)