• Advances in Approximate Inference with GPs (Thursday, September 14)

    Room: PLB-DS05, Pam Liversidge Building
  • Monday, September 11 Summer school
    8:00- 9:00 Arrivals

    9:00- 10:30 Introduction to GPs Neil Lawrence University of Sheffield [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 Ecole des Mines de St Etienne [slides]
  • Tuesday, September 12 Summer school
    8:00- 9:00 Arrivals

    9:00- 10:30 Multi Output Gaussian Processes Mauricio Alvarez University of Sheffield [slides]

    10:30- 11:00 Coffee Break

    11:00- 12:30 Unsupervised Learning with GPs Carl Henrik Ek University of Bristol [slides]

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 2

    15:30- 16:00 Tea Break

    16:00- 17:00 Stochastic (partial) differential equations and Gaussian processes Simo Sarkka Aalto University [slides]
  • Wednesday, September 13 Summer school
    8:00- 9:00 Arrivals

    9:00- 10:30 Introduction to Bayesian Optimization Javier Gonzalez Amazon Research Cambridge [slides]

    10:30- 11:00 Coffee Break

    11:00- 12:30 Sparse Gaussian Process Approximations Richard Turner University of Cambridge [slides]

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 3 - Bayesian optimization with GPyOpt

    15:30- 16:00 Tea Break

    16:00- 17:00 Integration over hyperparameters and estimation of predictive performance Aki Vehtari Aalto University [slides]
  • Thursday, September 14
    8:00- 9:00 Arrivals

    9:00- 17:00 Advances in Approximate Inference with GPs