Workshops

Full Schedule

    Day 1 | September 9 (Monday)

    Summer School


    8:30-9:00 Arrivals

    9:00-10:30 Introduction to GPsRichard Wilkinson, The University of Manchester

    10:30-11:00 Coffee Break

    11:00-12:30 Another introduction, maybe looking at Kernel design?TBC TBC, TBC

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 1

    15:30-16:00 Coffee Break

    16:00-17:00 Bayesian Neural NetworksYingzhen Li, Imperial College London

    Day 2 | September 10 (Tuesday)

    Summer School


    8:30-9:00 Arrivals

    9:00-10:30 Gaussian Processes and Non-Gaussian LikelihoodsAlan Saul, PROWLER.io [slides]

    10:30-11:00 Coffee Break

    11:00-12:30 Introduction to Deep GPsNeil Lawrence, University of Sheffield [slides]

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 2

    15:30-16:00 Coffee Break

    16:00-17:00 Bayesian neural networks: a function space view tourYingzhen Li, Microsoft Research Cambridge [slides]

    Day 3 | September 11 (Wednesday)

    Summer School


    8:30-9:00 Arrivals

    9:00-10:30 Unsupervised learning and Deep GPsCarl Henrik Ek, University of Bristol [slides]

    10:30-11:00 Coffee Break

    11:00-12:30 Introduction to Bayesian OptimisationJavier Gonz├ílez, Amazon Research Cambridge

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 3

    15:30-16:00 Coffee Break

    16:00-17:00 State space methods for temporal GPsArno Solin, Aalto University [slides]

    Workshop | September 12 (Thursday)

    Structurally Constrained Gaussian Processes


    8:30-9:00 Arrivals

    9:00-16:30 Structurally Constrained Gaussian Processes