Workshops

Full Schedule

    Day 1 | September 12 (Monday)

    Summer School


    8:30-9:00 Arrivals

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

    10:30-11:00 Coffee Break

    11:00-12:30 TBCCarl Henrik Ek, University of Cambridge

    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 13 (Tuesday)

    Summer school


    8:40-9:00 Arrivals

    9:00-10:30 Scalable / Big DataZhenwen Dai, Spotify [slides]

    10:30-11:00 Coffee Break

    11:00-12:30 GPs for non-Gaussian likelihoodsST John, https://fcai.fi/ and https://research.cs.aalto.fi/pml/ [slides]

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 2

    15:30-16:00 Tea Break

    16:00-17:00 Spectral & Spherical Gaussian ProcessesVincent Dutordoir, University of Cambridge [slides]

    17:30-20:00 Visit to the NATIONAL VIDEOGAME MUSEUM (VNM)

    19:30-21:00 Dinner at Kommune (next door to the NVM)

    Day 3 September 14 (Wednesday)

    Summer school


    8:40-9:00 Arrivals

    9:00-10:30 Machine Learning and the Physical WorldNeil Lawrence, University of Cambridge

    10:30-11:00 Coffee Break

    11:00-12:30 Bayesian OptimisationJavier Gonz├ílez, Microsoft Research Cambridge

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 3

    15:30-16:00 Tea Break

    16:00-17:00 Causal Decision Making and GPsVirginia Aglietti Aglietti, Deep Mind

    Workshop | September 15 (Thursday)

    Probabilistic Numerics


    8:40-9:00 Arrivals

    9:00-9:45 Probability and Numerics: A Modern RetrospectiveTim Sullivan, University of Warwick [slides]

    9:45-10:30 GParareal: (Towards) A Probabilistic Time-Parallel ODE SolverTim Sullivan, University of Warwick [slides]

    10:30-11:00 Coffee Break

    11:00-12:00 Black-Box Probabilistic Numerics (TBC)Chris Oates, Newcastle University [slides]

    12:00-13:00 Lunch

    13:00-13:50 ODE Solvers as Gauss-Markov Regression: An OverviewFilip Tronarp, University of Tuebingen [slides]

    13:50-14:40 Gaussian process regression in inverse problems and Markov chain Monte CarloAretha Teckentrup, University of Edinburgh [slides]

    14:40-15:30 Title TBCOksana Chkrebtii, Ohio State University [slides]

    15:30-16:00 Coffee Break

    16:00-17:00 Discussion and Questions