Machine Learning Research Group

The Machine Learning Research Group is a sub-group within Information Engineering (Robotics Research Group) in the Department of Engineering Science of the University of Oxford. We are one of the core groups that make up the wider community of Oxford Machine Learning and are particularly well integrated into the Oxford-Man Institute of Quantitative Finance, being co-located in the same building.

We are interested in probabilistic reasoning applied to problems in science, engineering and computing. We use the tools of statistical, and in particular Bayesian, inference to deal rationally with uncertainty and information in a number of domains including astronomy, biology, finance, image & signal processing and multi-agent systems, as well as researching the theory of Bayesian modelling and inference.

Recent publications

  • Sparse non-stationary Gaussian Processes for astrophysics
  • String and Membrane Gaussian Processes
  • Latent point process models
  • Bayesian Optimisation

See our publications page for more details