Bayesian inference is one of two dominant approaches to statistical inference. The word Bayesian refers to the influence of Reverend Thomas Bayes. Bayesian inference is a modern revival of the classical definition of probability.
X. Zheng, C. Dan, B. Aragam, P. Ravikumar, and E. Xing. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics
, volume 108 of Proceedings of Machine Learning Research, page 3414--3425. PMLR, (26--28 Aug 2020)
J. Huggins, M. Kasprzak, T. Campbell, and T. Broderick. (2019)cite arxiv:1910.04102Comment: A python package for carrying out our validated variational inference workflow -- including doing black-box variational inference and computing the bounds we develop in this paper -- is available at https://github.com/jhuggins/viabel. The same repository also contains code for reproducing all of our experiments.