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  1. Stephen Roberts is a leading researcher and educator in machine learning theory and applications. He leads the Machine Learning Research Group, the EPSRC Centre for Doctoral Training in Autonomous, Intelligent Machines and Systems, and the Oxford ELLIS unit.

    • Stephen Roberts

      Professor Stephen Roberts has a first degree in Physics and...

    • Publications

      Tackling Climate Change with Machine Learning, ICLR 2024....

  2. Professor Stephen Roberts has a first degree in Physics and a DPhil in machine learning. He was faculty at Imperial College, London prior to his appointment in Oxford in 1999.

  3. Stephen Roberts. Professor of Engineering Science (Machine Learning, Information Engineering), University of Oxford. Verified email at robots.ox.ac.uk - Homepage. Machine Learning Bayesian...

  4. Stephen Roberts (1917-1999) was an actor who appeared in films and TV shows such as Gog, Julius Caesar and The Court-Martial of Billy Mitchell. He also played President Franklin D. Roosevelt in five different films and one mini-series.

    • January 1, 1
    • Floral Park, Long Island, New York, USA
    • January 1, 1
    • Woodland Hills, Los Angeles, California, USA
  5. Stephen Frederick Roberts (1958 - July 2022) was an historian of nineteenth-century Britain who wrote extensively about Chartism and Birmingham in the Victorian era. He was educated at Bishop Vesey's Grammar School in Sutton Coldfield and the University of Birmingham, from where he held B.A. and M.Litt. degrees.

  6. Tackling Climate Change with Machine Learning, ICLR 2024. Kieran Wood, Samuel Kessler, Stephen J. Roberts, Stefan Zohren (2024). Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies. Journal of Financial Data Science, JFDS Spring 2024. https://arxiv.org/abs/2310.10500.

  7. Stephen Roberts is a machine learning expert and the Co-Founder of Mind Foundry, a spin-out company of the University of Oxford. He works on the theory and methodology of machine learning for large-scale real-world problems with noise and uncertainty.