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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 96: Symposium on Advances in Approximate Bayesian Inference, 02 December 2018,

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Editors: Francisco Ruiz, Cheng Zhang, Dawen Liang, Thang Bui

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An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo

; Proceedings of The 1st Symposium on Advances in Approximate Bayesian Inference, PMLR 96:1-10

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Consistency of ELBO maximization for model selection

Badr-Eddine Cherief-Abdellatif; Proceedings of The 1st Symposium on Advances in Approximate Bayesian Inference, PMLR 96:11-31

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Likelihood-free inference with emulator networks

Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, Jakob H. Macke; Proceedings of The 1st Symposium on Advances in Approximate Bayesian Inference, PMLR 96:32-53

[abs][Download PDF]

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