Workshops

Full Schedule

    Day 1 September 11 (Monday)

    Summer school


    8:00-9:00 Arrivals

    9:00-10:30 Introduction to GPsNeil D. Lawrence, University of Sheffield [slides]

    10:30-11:00 Coffee Break

    11:00-12:30 A second introduction to GPsRichard 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 DesignNicolas Durrande, Ecole des Mines de St Etienne [slides]

    Day 2 September 12 (Tuesday)

    Summer school


    8:00-9:00 Arrivals

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

    10:30-11:00 Coffee Break

    11:00-12:30 Unsupervised Learning with GPsCarl 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 processesSimo Sarkka, Aalto University [slides]

    Day 3 September 13 (Wednesday)

    Summer school


    8:00-9:00 Arrivals

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

    10:30-11:00 Coffee Break

    11:00-12:30 Sparse Gaussian Process ApproximationsRichard 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 performanceAki Vehtari, Aalto University [slides]

    Day 4 September 14 (Thursday)


    8:00-9:00 Arrivals

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