The course sets up the foundations and covers the basic algorithms covered in probabilistic machine learning. Several techniques that are probabilistic in nature are introduced and standard topics are ...

Data compression and probabilistic modelling are two sides of the same coin, and Bayesian machine-learning methods are ... used lossless data compression algorithms (for example, gzip) can be ...

We develop novel methods to make Bayesian inference more efficient ... This encompasses privacy-preserving machine learning, explainable AI, efficient learning algorithms, and techniques for ...

The course sets up the foundations and covers the basic algorithms covered in probabilistic machine learning. Several techniques that are probabilistic in nature are introduced and standard topics are ...