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.

Link to GPSS Winter 2014

organized by Neil LawrenceZhenwen DaiSheffield 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

Organizers