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The Gaussian Process Summer School was held in Sheffield, UK from Monday, 15 September 2014 to Thursday, 18 September 2014 at the The University of Sheffield.
This webpage acts as a record of the program and talks given.
organized by Neil Lawrence, Zhenwen Dai, Sheffield ML Group
Monday 15 September
8:00 - 9:00 Arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:30 Solving Challenging Non-linear Regression Problems by Manipulating a Gaussian Distribution, Carl E. Rasmussen, University of Cambridge
12:30 - 13:45 Lunch Break
13:15 - 15:30 Lab Session 1 Gaussian Process Models with GPy [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:00 Building Bayesian models: Why bother if you don’t believe?, Dan Cornford, Aston University
8:00 - 9:00 Arrivals
9:00 - 10:30 Fitting Covariance and Multi-output Gaussian Processes, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:00 Sparse Gaussian Processes, James Hensman, University of Sheffield [jupyter notebook]
12:00 - 12:45 Expectation Propagation, Ricardo Andrade, University of Sheffield
12:45 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 2 Gaussian Process for Classification and Sparse Gaussian Processes [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:30 Machine Learning, Probabilistic Inference, System Identification and Control, Carl E. Rasmussen, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
8:30 - 9:00 Arrivals
9:00 - 10:30 Big model configuration with Bayesian quadrature, Mike A. Osborne, University of Oxford
10:30 - 11:00 Coffee Break
11:00 - 12:00 Latent Variable Models with Gaussian Processes, Neil Lawrence, University of Sheffield
12:00 - 13:00 Understanding the Evidence, Joaquin Quiñonero Candela, Facebook
13:00 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 3 Latent Variable Models [jupyter notebook]
14:00 - 15:00 Examples of Machine Learning and Data Science at Facebook (Optional, Stephenson LT01), Joaquin Quiñonero Candela, Facebook
15:30 - 16:00 Tea Break
16:00 - 17:00 Gaussian process approximation for time-series, Richard E. Turner, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
Feature Extraction with Gaussian Processes Workshop
Tuesday 16 September
8:00 - 9:00 Arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:30 Solving Challenging Non-linear Regression Problems by Manipulating a Gaussian Distribution, Carl E. Rasmussen, University of Cambridge
12:30 - 13:45 Lunch Break
13:15 - 15:30 Lab Session 1 Gaussian Process Models with GPy [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:00 Building Bayesian models: Why bother if you don’t believe?, Dan Cornford, Aston University
8:00 - 9:00 Arrivals
9:00 - 10:30 Fitting Covariance and Multi-output Gaussian Processes, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:00 Sparse Gaussian Processes, James Hensman, University of Sheffield [jupyter notebook]
12:00 - 12:45 Expectation Propagation, Ricardo Andrade, University of Sheffield
12:45 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 2 Gaussian Process for Classification and Sparse Gaussian Processes [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:30 Machine Learning, Probabilistic Inference, System Identification and Control, Carl E. Rasmussen, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
8:30 - 9:00 Arrivals
9:00 - 10:30 Big model configuration with Bayesian quadrature, Mike A. Osborne, University of Oxford
10:30 - 11:00 Coffee Break
11:00 - 12:00 Latent Variable Models with Gaussian Processes, Neil Lawrence, University of Sheffield
12:00 - 13:00 Understanding the Evidence, Joaquin Quiñonero Candela, Facebook
13:00 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 3 Latent Variable Models [jupyter notebook]
14:00 - 15:00 Examples of Machine Learning and Data Science at Facebook (Optional, Stephenson LT01), Joaquin Quiñonero Candela, Facebook
15:30 - 16:00 Tea Break
16:00 - 17:00 Gaussian process approximation for time-series, Richard E. Turner, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
Feature Extraction with Gaussian Processes Workshop
Wednesday 17 September
8:00 - 9:00 Arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:30 Solving Challenging Non-linear Regression Problems by Manipulating a Gaussian Distribution, Carl E. Rasmussen, University of Cambridge
12:30 - 13:45 Lunch Break
13:15 - 15:30 Lab Session 1 Gaussian Process Models with GPy [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:00 Building Bayesian models: Why bother if you don’t believe?, Dan Cornford, Aston University
8:00 - 9:00 Arrivals
9:00 - 10:30 Fitting Covariance and Multi-output Gaussian Processes, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:00 Sparse Gaussian Processes, James Hensman, University of Sheffield [jupyter notebook]
12:00 - 12:45 Expectation Propagation, Ricardo Andrade, University of Sheffield
12:45 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 2 Gaussian Process for Classification and Sparse Gaussian Processes [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:30 Machine Learning, Probabilistic Inference, System Identification and Control, Carl E. Rasmussen, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
8:30 - 9:00 Arrivals
9:00 - 10:30 Big model configuration with Bayesian quadrature, Mike A. Osborne, University of Oxford
10:30 - 11:00 Coffee Break
11:00 - 12:00 Latent Variable Models with Gaussian Processes, Neil Lawrence, University of Sheffield
12:00 - 13:00 Understanding the Evidence, Joaquin Quiñonero Candela, Facebook
13:00 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 3 Latent Variable Models [jupyter notebook]
14:00 - 15:00 Examples of Machine Learning and Data Science at Facebook (Optional, Stephenson LT01), Joaquin Quiñonero Candela, Facebook
15:30 - 16:00 Tea Break
16:00 - 17:00 Gaussian process approximation for time-series, Richard E. Turner, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
Feature Extraction with Gaussian Processes Workshop
Thursday 18 September
8:00 - 9:00 Arrivals
9:00 - 10:30 Introduction to GPs, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:30 Solving Challenging Non-linear Regression Problems by Manipulating a Gaussian Distribution, Carl E. Rasmussen, University of Cambridge
12:30 - 13:45 Lunch Break
13:15 - 15:30 Lab Session 1 Gaussian Process Models with GPy [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:00 Building Bayesian models: Why bother if you don’t believe?, Dan Cornford, Aston University
8:00 - 9:00 Arrivals
9:00 - 10:30 Fitting Covariance and Multi-output Gaussian Processes, Neil Lawrence, University of Sheffield
10:30 - 11:00 Coffee Break
11:00 - 12:00 Sparse Gaussian Processes, James Hensman, University of Sheffield [jupyter notebook]
12:00 - 12:45 Expectation Propagation, Ricardo Andrade, University of Sheffield
12:45 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 2 Gaussian Process for Classification and Sparse Gaussian Processes [jupyter notebook]
15:30 - 16:00 Tea Break
16:00 - 17:30 Machine Learning, Probabilistic Inference, System Identification and Control, Carl E. Rasmussen, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
8:30 - 9:00 Arrivals
9:00 - 10:30 Big model configuration with Bayesian quadrature, Mike A. Osborne, University of Oxford
10:30 - 11:00 Coffee Break
11:00 - 12:00 Latent Variable Models with Gaussian Processes, Neil Lawrence, University of Sheffield
12:00 - 13:00 Understanding the Evidence, Joaquin Quiñonero Candela, Facebook
13:00 - 13:30 Lunch Break
13:30 - 15:30 Lab Session 3 Latent Variable Models [jupyter notebook]
14:00 - 15:00 Examples of Machine Learning and Data Science at Facebook (Optional, Stephenson LT01), Joaquin Quiñonero Candela, Facebook
15:30 - 16:00 Tea Break
16:00 - 17:00 Gaussian process approximation for time-series, Richard E. Turner, University of Cambridge
18:00 - 20:00 Social Event: Kelham Brewery Tour
Feature Extraction with Gaussian Processes Workshop