
Gaussian Process Summer School
University of Sheffield, UK
15th  17th September 2014
Agenda
Monday 15th September
9:0010:30 
Introduction to GPs [Lecture Slides] 
 Neil Lawrence, University of Sheffield 
11:0012:30 
Solving Challenging Nonlinear Regression Problems
by Manipulating a Gaussian Distribution [Lecture Slides] 
 Carl E. Rasmussen, University of Cambridge 
16:0017:00 
Building Bayesian models: Why bother if you don't believe? [Lecture Slides] 
 Dan Cornford, Aston University 
Tuesday 16th September
9:0010:30 
Fitting Covariance and Multioutput Gaussian Processes [Lecture Slides] 
 Neil Lawrence, University of Sheffield 
12:0012:45 
Expectation Propagation [Lecture Slides] 
 Ricardo Andrade, University of Sheffield 
13:3015:30 
Lab Session 2 Gaussian Process for Classification and Sparse Gaussian Processes [ipython notebook] 
16:0017:30 
Machine Learning, Probabilistic Inference,
System Identification and Control [Lecture Slides] 
 Carl E. Rasmussen, University of Cambridge 
18:0020:00 
Social Event: Kelham Brewery Tour 
Wednesday 17th September
9:0010:30 
Big model configuration with Bayesian quadrature [Lecture Slides] 
 Mike A. Osborne, University of
Oxford 
11:0012:00 
Latent Variable Models with Gaussian Processes [Lecture Slides] 
 Neil Lawrence, University of Sheffield 
12:0013:00 
Understanding the Evidence [Lecture Slides] 
 Joaquin Quiñonero Candela, Facebook 
14:0015:00 [Optional] 
Examples of Machine Learning and Data Science at Facebook (Stephenson LT01) Joaquin Quiñonero Candela, Facebook 
16:0017:00 
Gaussian process approximation for timeseries [Lecture Slides] 
 Richard E. Turner, University of
Cambridge 
18:0020:00 
Social Event: Kelham Brewery Tour 
Thursday 18th September
Feature Extraction with Gaussian Processes Workshop
