Our Research

The Machine Learning Research Group (MLRG) sits within Information Engineering in the Department of Engineering Science of the University of Oxford. We are one of the core groupings that make up the wider community of Oxford Machine Learning & AI (Artificial Intelligence). The MLRG is particularly well integrated with the Oxford-Man Institute of Quantitative Finance, being co-located in the same building and with many faculty having joint affiliation.

The sub-groups that constitute the MLRG are united in the development of robust machine learning and in its principled application to problems in science, engineering and commerce. Our work encompasses fundamental research into Bayesian theory, machine learning on graphs, physics-inspired inference and optimisation. Our methodology is similarly broad, with active research in probabilistic numerics, reinforcement learning, neural networks, Bayesian nonparametrics, Bayesian optimisation, learning theory, natural language processing, and maximum-entropy methods. Applications span numerous domains including astronomy, automation & employment, control, ecology, disaster response, finance, signal processing & multi-agent systems.

Machine Learning  -  AI  -  Data Science - Bayesian modelling