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Gaussian Process Summer School
University of Sheffield, UK
15th - 17th September 2014
Agenda
Monday 15th September
| 9:00-10:30 |
Introduction to GPs [Lecture Slides] |
| | Neil Lawrence, University of Sheffield |
| 11:00-12:30 |
Solving Challenging Non-linear Regression Problems
by Manipulating a Gaussian Distribution [Lecture Slides] |
| | Carl E. Rasmussen, University of Cambridge |
| 16:00-17:00 |
Building Bayesian models: Why bother if you don't believe? [Lecture Slides] |
| | Dan Cornford, Aston University |
Tuesday 16th September
| 9:00-10:30 |
Fitting Covariance and Multi-output Gaussian Processes [Lecture Slides] |
| | Neil Lawrence, University of Sheffield |
| 12:00-12:45 |
Expectation Propagation [Lecture Slides] |
| | Ricardo Andrade, University of Sheffield |
| 13:30-15:30 |
Lab Session 2 Gaussian Process for Classification and Sparse Gaussian Processes [ipython notebook] |
| 16:00-17:30 |
Machine Learning, Probabilistic Inference,
System Identification and Control [Lecture Slides] |
| | Carl E. Rasmussen, University of Cambridge |
| 18:00-20:00 |
Social Event: Kelham Brewery Tour |
Wednesday 17th September
| 9:00-10:30 |
Big model configuration with Bayesian quadrature [Lecture Slides] |
| | Mike A. Osborne, University of
Oxford |
| 11:00-12:00 |
Latent Variable Models with Gaussian Processes [Lecture Slides] |
| | Neil Lawrence, University of Sheffield |
| 12:00-13:00 |
Understanding the Evidence [Lecture Slides] |
| | Joaquin Quiñonero Candela, Facebook |
| 14:00-15:00 [Optional] |
Examples of Machine Learning and Data Science at Facebook (Stephenson LT01)
Joaquin Quiñonero Candela, Facebook |
| 16:00-17:00 |
Gaussian process approximation for time-series [Lecture Slides] |
| | Richard E. Turner, University of
Cambridge |
| 18:00-20:00 |
Social Event: Kelham Brewery Tour |
Thursday 18th September
Feature Extraction with Gaussian Processes Workshop
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