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Generalized Variational Inference: Three arguments for deriving new Posteriors

, , and . (2019)cite arxiv:1904.02063Comment: 103 pages, 23 figures (comprehensive revision of previous version).

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A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods., , , and . CoRR, (2023)Transforming Gaussian Processes With Normalizing Flows., , , and . CoRR, (2020)Optimization-centric generalizations of Bayesian inference.. University of Warwick, Coventry, UK, (2021)British Library, EThOS.An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference., , and . J. Mach. Learn. Res., (2022)Robust Deep Gaussian Processes. (2019)cite arxiv:1904.02303Comment: 11 pages, 4 figures.Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2723-2732. PMLR, (2018)Generalized Variational Inference., , and . CoRR, (2019)Optimal Continual Learning has Perfect Memory and is NP-hard., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5327-5337. PMLR, (2020)Robust and Scalable Bayesian Online Changepoint Detection., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 642-663. PMLR, (2023)Transforming Gaussian Processes With Normalizing Flows., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1081-1089. PMLR, (2021)