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Mathematics and Machine Learning

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The Mathematics and Machine Learning study group is intended for mathematicians, computer scientists, and all other areas of data science. It will explore

  • What makes neural networks work so well?
  • Which applications are straining the limits of backpropagation?
  • What new forms of optimization / training can we devise?
  • What design of computer systems will be needed?

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If you have a question about this list, please contact: Damon Wischik; Frank Kelly; Hamza Fawzi; Nicolai Baldin. If you have a question about a specific talk, click on that talk to find its organiser.

3 upcoming talks and 10 talks in the archive.

Reading group: Generative models - GANs and VAEs

User Sebastian Lunz (CCA) and Oliver Leicht (DAMTP).

HouseCentre for Mathematical Sciences, MR2.

ClockTuesday 27 February 2018, 14:00-15:00

Bayesian deep learning

UserYarin Gal (Oxford).

HouseCentre for Mathematical Sciences, MR4.

ClockTuesday 13 March 2018, 14:00-15:00

Title to be confirmed

UserDevavrat Shah, MIT.

HouseCentre for Mathematical Sciences, MR4.

ClockTuesday 08 May 2018, 14:00-15:00

Please see above for contact details for this list.


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