Day 1 | September 14 (Monday)

    Summer School


    8:30-9:00 Arrivals

    9:00-10:30 Introduction to Gaussian Processes Carl Henrik Ek, University of Cambridge.

    10:30-11:00 Coffee Break.

    11:00-12:30 A second introduction to Gaussian Processes Richard Wilkinson, University of Nottingham.

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 1

    15:30-16:00 Tea Break.

    16:00-17:00 Bayesian nonparametric dynamical clustering of time series Adrian Perez Herrero, Universidad Santiago de Compostela

    Day 2 | September 15 (Tuesday)

    Summer School


    8:30-9:00 Arrivals

    9:00-10:30 Bayesian Optimization and Beyond Henry Moss, University of Lancaster

    10:30-11:00 Coffee Break

    11:00-12:30 Multi-task Gaussian processes Arthur Leroy, INRAE

    12:30-13:45 Lunch

    13:45-15:30 Lab Session 2

    15:30-16:00 Coffee Break

    16:00-17:00 From Spectral Kernels to Latent Variable Models: Random Fourier Features, Expressive Kernels, and Flow-Based Inference Pablo M Olmos, Universidad Carlos III Madrid

    Day 3 Advances in Gaussian process models | September 16 (Wednesday)

    Workshop


    8:30-9:00 Arrivals

    9:00-9:10 Welcome, 

    9:10-10:10 Learning the Spectrum, Not the Kernel: Expressive Spectral Densities for Multi-Output GPs and Attention Pablo M Olmos, Universidad Carlos III Madrid

    10:10-10:40 Coffee Break

    10:40-11:40 Forgetting to Improve: Principled Data Removal in Active Learning Manuel Wendl, ETH Zurich

    11:40-12:40 Gaussian Process Variational Autoencoders Xinxing Shin, University of Manchester

    12:40-14:00 Lunch

    14:00-15:00 Scalable Gaussian Processes on High-Dimensional Incomplete Grids Mads Greisen Højlund, Aarhus University

    15:00-15:30 Tea Break

    15:30-16:30 Transformed Latent Variable MultiOutput Gaussian Processes Xiaoyu Jiang, University of Manchester