Please reload

Recent Posts

Our new website is launched today.

March 14, 2017

Please reload

Featured Posts

Sparse Gaussian Processes

August 18, 2017

We review the motivation for and implementation of sparse Gaussian processes.  Special attention is given to the variational method of Titsias (2009), which addresses many of the shortcomings of the previous state of the art and serves as a foundation for many current extensions.





Titsias, M. "Variational Learning of Inducing Variables in Sparse Gaussian Processes." International Conference on Artificial Intelligence and Statistics (2009): 567-574


Share on Twitter
Please reload

Please reload

Search By Tags
Please reload

Copyright © 2020 University of Notre Dame

372 Fitzpatrick Hall, Notre Dame, IN 46556, USA

Phone 574-631-2429

Contact us

Accessibility Information