![[Gaussian Process Summer School Logo]](/gpss13/assets/images/logo-gpss.svg){kind=logo}
The Gaussian Process Summer School was held in Sheffield, UK from Monday, 10 June 2013 to Thursday, 13 June 2013 at the The University of Sheffield.
This webpage acts as a record of the program and talks given.
organized by Neil Lawrence, Nicolas Durrande, Sheffield ML Group
Monday 10 June
8:00 - 9:00 arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:30 Introduction to GPs, Richard Turner, University of Cambridge
lunch
13:30 - 15:30 Lab Session 1: GP models with GPy
coffee break
16:00 - 17:30 Kernel Design, Nicolas Durrande, University of Sheffield
9:00 - 10:30 Multi-output GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:00 Sparse GPs, James Hensman, University of Sheffield
12:00 - 12:30 Expectation Propagation, Ricardo Andrade, University of Sheffield
lunch
13:30 - 15:30 Lab Session 2: Sparse GPs with GPy [dataset]
coffee break
16:00 - 17:30 GPs for Uncertainty Quantification in Computer Experiments, Richard Wilkinson, University of Nottingham
9:00 - 10:00 GPs for Optimisation, Michael Osborne, University of Oxford
coffee break
10:30 - 11:30 GPs for Optimisation, Philipp Hennig, MPI Tuebingen
11:30 - 12:30 GP Latent Variable Models, Neil Lawrence, University of Sheffield
lunch
13:30 - 15:30 *Lab Session 3: Latent Variable Models with GPy [dataset]
coffee break
16:00 - 17:30 State space representation of GPs, Simo Särkkä, Aalto University
Tuesday 11 June
8:00 - 9:00 arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:30 Introduction to GPs, Richard Turner, University of Cambridge
lunch
13:30 - 15:30 Lab Session 1: GP models with GPy
coffee break
16:00 - 17:30 Kernel Design, Nicolas Durrande, University of Sheffield
9:00 - 10:30 Multi-output GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:00 Sparse GPs, James Hensman, University of Sheffield
12:00 - 12:30 Expectation Propagation, Ricardo Andrade, University of Sheffield
lunch
13:30 - 15:30 Lab Session 2: Sparse GPs with GPy [dataset]
coffee break
16:00 - 17:30 GPs for Uncertainty Quantification in Computer Experiments, Richard Wilkinson, University of Nottingham
9:00 - 10:00 GPs for Optimisation, Michael Osborne, University of Oxford
coffee break
10:30 - 11:30 GPs for Optimisation, Philipp Hennig, MPI Tuebingen
11:30 - 12:30 GP Latent Variable Models, Neil Lawrence, University of Sheffield
lunch
13:30 - 15:30 *Lab Session 3: Latent Variable Models with GPy [dataset]
coffee break
16:00 - 17:30 State space representation of GPs, Simo Särkkä, Aalto University
Wednesday 12 June
8:00 - 9:00 arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:30 Introduction to GPs, Richard Turner, University of Cambridge
lunch
13:30 - 15:30 Lab Session 1: GP models with GPy
coffee break
16:00 - 17:30 Kernel Design, Nicolas Durrande, University of Sheffield
9:00 - 10:30 Multi-output GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:00 Sparse GPs, James Hensman, University of Sheffield
12:00 - 12:30 Expectation Propagation, Ricardo Andrade, University of Sheffield
lunch
13:30 - 15:30 Lab Session 2: Sparse GPs with GPy [dataset]
coffee break
16:00 - 17:30 GPs for Uncertainty Quantification in Computer Experiments, Richard Wilkinson, University of Nottingham
9:00 - 10:00 GPs for Optimisation, Michael Osborne, University of Oxford
coffee break
10:30 - 11:30 GPs for Optimisation, Philipp Hennig, MPI Tuebingen
11:30 - 12:30 GP Latent Variable Models, Neil Lawrence, University of Sheffield
lunch
13:30 - 15:30 *Lab Session 3: Latent Variable Models with GPy [dataset]
coffee break
16:00 - 17:30 State space representation of GPs, Simo Särkkä, Aalto University
Thursday 13 June
8:00 - 9:00 arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:30 Introduction to GPs, Richard Turner, University of Cambridge
lunch
13:30 - 15:30 Lab Session 1: GP models with GPy
coffee break
16:00 - 17:30 Kernel Design, Nicolas Durrande, University of Sheffield
9:00 - 10:30 Multi-output GPs, Neil Lawrence, University of Sheffield
coffee break
11:00 - 12:00 Sparse GPs, James Hensman, University of Sheffield
12:00 - 12:30 Expectation Propagation, Ricardo Andrade, University of Sheffield
lunch
13:30 - 15:30 Lab Session 2: Sparse GPs with GPy [dataset]
coffee break
16:00 - 17:30 GPs for Uncertainty Quantification in Computer Experiments, Richard Wilkinson, University of Nottingham
9:00 - 10:00 GPs for Optimisation, Michael Osborne, University of Oxford
coffee break
10:30 - 11:30 GPs for Optimisation, Philipp Hennig, MPI Tuebingen
11:30 - 12:30 GP Latent Variable Models, Neil Lawrence, University of Sheffield
lunch
13:30 - 15:30 *Lab Session 3: Latent Variable Models with GPy [dataset]
coffee break
16:00 - 17:30 State space representation of GPs, Simo Särkkä, Aalto University