Download or read book Patterns of Scalable Bayesian Inference written by Elaine Angelino and published by . This book was released on 2016-11-17 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. Reviews existing work on utilizing modern computing resources with both MCMC and variational approximation techniques. From this taxonomy of ideas, it characterizes the general principles that have proven successful for designing scalable inference procedures.