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The Statistical Machine Learning group is a new research group at Imperial College’s Department of Computing, headed by Marc Deisenroth. Our research expertise is in data-efficient statistical machine learning with a focus on Bayesian methods. Application areas include autonomous systems, robotics, time series analysis, reinforcement learning, network analysis and brain-machine interfaces.

If you are interested in joining the Statistical Machine Learning group, please check out our openings.

Research Expertise

  • Machine Learning: Gaussian processes, Reinforcement learning, Bayesian inference, Graphical models, Active learning/optimal design, Bayesian optimization
  • Control and Robotics: Optimal control, Robot learning, Imitation learning, Prosthetics
  • Signal Processing: Bayesian state estimation, System identification, Inference and learning in nonlinear dynamical systems

Recent Highlights

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