The Fundamentals of Statistical Machine Learning group is a research group in the UCL Department of Statistical Science. Our focus is on the intersection of statistical inference and machine learning methodology and theory.
Two papers accepted at ICML 2024. The papers are both on the topic of scalable generalised Bayes, one in the context of Gaussian processes, and the other in the context of Kalman filtering.