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Trevor Campbell, Jonathan H. Huggins, Kyurae Kim, Charles C. Margossian: Large-scale empirical tuning and comparison of default optimizers for variational inference https://arxiv.org/abs/2606.07841 https://arxiv.org/pdf/2606.07841 https://arxiv.org/html/2606.07841
Trevor Campbell, Jonathan H. Huggins, Kyurae Kim, Charles C. Margossian: Large-scale empirical tuning and comparison of default optimizers for variational inference https://arxiv.org/abs/2606.07841 https://arxiv.org/pdf/2606.07841 https://arxiv.org/html/2606.07841
Trevor Campbell, Jonathan H. Huggins, Kyurae Kim, Charles C. Margossian: Large-scale empirical tuning and comparison of default optimizers for variational inference https://arxiv.org/abs/2606.07841 https://arxiv.org/pdf/2606.07841 https://arxiv.org/html/2606.07841
Some of the case studies are close to corresponding book chapters or have even more description, so check few more online. You can also read the arXiv version arxiv.org/abs/2011.01808 as a preview
arXiv📈🤖 On Asymptotic Outlier Rejection in Bayesian Mixed Poisson Regression Models Under Extreme Target and Covariate Values By Pia, Vanhatalo
Miles Moran (Oregon State University), Rob Trangucci (Oregon State University), Lisa Madsen (Oregon State University) Bayesian Inference of Mixing and Transmission Heterogeneity in Stratified Disease Surveillance Models https://arxiv.org/abs/2605.29081
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