The course will introduce the basic principles and algorithms used in Bayesian machine learning. This will include the Bayesian ... including approximate inference methods such as variational ...

This project will focus on algorithms that combine machine learning with search techniques, probability, and statistics, to discover causal Bayesian Networks from data. A project in causal discovery ...

"Bayesian unsupervised ... Despite these challenges, the LPD method proved to be reliable, as it identified consistent subgroups of osteosarcoma across four different sets of independent data. Like ...

The Machine and Human ... machine and human learning. We study brains and computers alike as statistical inference engines which are probabilistic, approximate, active, robust, and ...

Saria, part of Business Insider's 2024 AI Power List, directs the machine learning and healthcare lab at Johns Hopkins University and is the founder and CEO of the AI startup Bayesian Health.

The course sets up the foundations and covers the basic algorithms covered in probabilistic machine learning ... topics are revisited from a Bayesian viewpoint. The module provides training in ...