• Advances in Kernel Methods (Thursday, September 6)

    Room: PLB-DS05, Pam Liversidge Building
  • Monday, September 3 Summer school
    8:00- 9:00 Arrivals

    9:00- 10:30 Introduction to GPs Neil Lawrence Amazon Research Cambridge [slides]

    10:30- 11:00 Coffee Break

    11:00- 12:30 A second introduction to GPs Richard Wilkinson University of Sheffield [slides]

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 1

    15:30- 16:00 Tea Break

    16:00- 17:00 Kernel Design Nicolas Durrande PROWLER.io [slides]
  • Tuesday, September 4 Summer school
    8:00- 9:00 Arrivals

    9:00- 10:30 GPs with Non-Gaussian Likelihoods James Hensman PROWLER.io [slides]

    10:30- 11:00 Coffee Break

    11:00- 12:30 Computationally efficient GPs Zhenwen Dai Amazon Research Cambridge [slides]

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 2

    15:30- 16:00 Tea Break

    16:00- 17:00 GP-based probabilistic modelling of dynamical systems Thomas Schön Uppsala University [slides]
  • Wednesday, September 5 Summer school
    8:00- 9:00 Arrivals

    9:00- 10:30 Unsupervised learning with GPs Carl Henrik Ek University of Bristol [slides]

    10:30- 11:00 Coffee Break

    11:00- 12:30 Introduction to Bayesian Optimization Javier Gonzalez Amazon Research Cambridge [slides]

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 3

    15:30- 16:00 Tea Break

    16:00- 17:00 Quantifying and reducing uncertainties on sets under Gaussian Process priors David Ginsbourger Idiap and University of Bern [slides]
  • Thursday, September 6
    8:00- 9:00 Arrivals

    9:00- 17:00 Advances in Kernel Methods