Workshops

Full Schedule

    Day 1 September 12 (Monday)

    Summer school


    8:00-9:00 Arrivals

    9:00-10:30 Introduction to GPs [slides]

    10:30-11:00 Coffee Break

    11:00-12:30 Introduction to Uncertainty Quantification and Gaussian Processes [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 [slides]

    Day 2 September 13 (Tuesday)

    Summer school


    8:00-9:00 Arrivals

    9:00-10:30 Gaussian Processes for Regression, Global Optimization and Set Estimation [slides]

    10:30-11:00 Coffee Break

    11:00-12:30 Fitting Covariance and Multi Output Gaussian Processes [slides]

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 2

    15:30-16:00 Tea Break

    16:00-17:00 Probabilistic Numerical Computation: A New Concept?

    Day 3 September 14 (Wednesday)

    Summer school


    8:00-9:00 Arrivals

    9:00-9:45 Global Optimization with Gaussian Processes [slides]

    9:45-10:30 Introduction to ABC (Approximate Bayesian Computation) [slides]

    10:30-10:45 Coffee Break

    10:45-11:45 Bayesian Optimization for Likelihood Free-Inference [slides]

    11:45-12:45 Probabilistic Numerics for Differential Equations

    12:45-13:45 Lunch

    13:45-14:45 History Matching [slides]

    14:45-17:00 Lab Session 3 - Bayesian optimization with GPyOpt

    14:45-17:00 Lab Session 3 - History matching in R

    15:30-16:00 Tea Break

    Day 4 September 15 (Thursday)

    Uncertainty Quantification and ENBIS workshops


    8:00-9:00 Arrivals

    9:00-17:00 Split Workshops