• Causal Inference meets Probabilistic Models (Thursday, September 17)

    Room: TBA
  • Day 1 | Monday, September 14 Summer School
    8:30- 9:00 Arrivals

    9:00- 10:30 A first introduction to GPs Richard Wilkinson The University of Sheffield

    10:30- 11:00 Coffee Break

    11:00- 12:30 Kernel design Nicolas Durrande PROWLER.io

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 1

    15:30- 16:00 Coffee Break

    16:00- 17:00 TBA Andrew Gordon Wilson Courant Institute of Mathematical Sciences and Center for Data Science, New York University
  • Day 2 | Tuesday, September 15 Summer School
    8:30- 9:00 Arrivals

    9:00- 10:30 Scalable Gaussian Processes Zhenwen Dai Spotify

    10:30- 11:00 Coffee Break

    11:00- 12:30 Introduction to Deep GPs Neil Lawrence University of Cambridge

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 2

    15:30- 16:00 Coffee Break

    16:00- 17:00 TBA Virginia Aglietti University of Warwick
  • Day 3 | Wednesday, September 16 Summer School
    8:30- 9:00 Arrivals

    9:00- 10:30 Unsupervised learning and Deep GPs Carl Henrik Ek University of Cambridge

    10:30- 11:00 Coffee Break

    11:00- 12:30 Introduction to Bayesian Optimisation Javier González Microsoft Research Cambridge

    12:30- 13:45 Lunch

    13:45- 15:30 Lab Session 3

    15:30- 16:00 Coffee Break

    16:00- 17:00 Bayesian Neural Networks from a Gaussian Process Perspective Andrew Gordon Wilson Courant Institute of Mathematical Sciences and Center for Data Science, New York University
  • Workshop | Thursday, September 17 Causal Inference meets Probabilistic Models
    8:30- 9:00 Arrivals

    9:00- 17:00 Causal Inference meets Probabilistic Models