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Parallel Tempering With a Variational Reference., , , и . NeurIPS, (2022)Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 796-805. PMLR, (2019)Coreset Markov chain Monte Carlo., и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 4438-4446. PMLR, (2024)Finite mixture models are typically inconsistent for the number of components, , и . (2020)cite arxiv:2007.04470Comment: 16 pages, 1 figure.Approximate Decentralized Bayesian Inference., и . UAI, стр. 102-111. AUAI Press, (2014)Universal Boosting Variational Inference., и . NeurIPS, стр. 3479-3490. (2019)The CPD Data Set: Personnel, Use of Force, and Complaints in the Chicago Police Department., , , , и . NeurIPS Datasets and Benchmarks, (2021)Bayesian Pseudocoresets., , , и . NeurIPS, (2020)Bayesian inference via sparse Hamiltonian flows., , и . NeurIPS, (2022)Mixed variational flows for discrete variables., , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 2431-2439. PMLR, (2024)