Generalised Bayes Linear Inference

Lachlan Astfalck, Cassandra Bird, Daniel Williamson

Motivated by big data and the vast parameter spaces in modern machine learning models, optimisation approaches to Bayesian inference have seen a surge in popularity in recent years…