Patterns of Scalable Bayesian Inference by Matthew James Johnson, Ryan P. Adams, Elaine Angelino

148 pages missing pub info (editions)

nonfiction computer science science informative medium-paced
Powered by AI (Beta)
Loading...

Description

Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an excellent fit for this demand, but scaling Bayesian inference is a challenge. In response to this...

Read more

Community Reviews

Loading...

Content Warnings

Loading...