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Proceedings of Machine Learning Research | Proceedings of The 1st Symposium on Advances in Approximate Bayesian Inference on 2nd December 2018 at Le 1000 Conference Center, Montréal, QC H3B 0A2, Canada Published as Volume 96 by the Proceedings of Machine Learning Research on 05 January 2019. Volume Edited by: Francisco Ruiz Cheng Zhang Dawen Liang Thang Bui Series Editors: Neil D. Lawrence Mark Reid
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[Symposium on Advances in Approximate Bayesian Inference Logo] 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

Luigi Acerbi; 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

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