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