Gaussian Process: Theory and ApplicationsՀայաստանի կազմակերպությունների տեղեկատուStochastic MechanicsExpress Your Wishes

Home Books Journals Datasets Publications   » Basics of GPs   » Sparse GPs   » Uncertain Inputs   » Dynamic Systems   » Sequential Data   » Mixtures of GPs   » Multiple Outputs   » Others People Web Links
   Sparse Gaussian Processes
A. Melkumyan, F. Ramos. A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. International Joint Conferences on Artificial Intelligence, 2009.

N. Lawrence, M. Seeger, R. Herbrich. Fast Sparse Gaussian Process Methods: The Informative Vector Machine. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 625-632. MIT Press, 2003.

J. Quinonero Candela, CE Rasmussen. A Unifying View of Sparse Approximate Gaussian Process Regression. Journal of Machine Learning Research, (6):1939-1959, 2005.

M. Seeger, C. K. I. Williams, N. Lawrence. Fast forward selection to speed up sparse gaussian process regression. In AISTATS, 2003.

A. Smola, P. Bartlett. Sparse greedy gaussian process regression. In Advances in Neural Information Processing Systems 13, pages 619-625. MIT Press, 2001.

E. Snelson, Z. Ghahramani. Sparse gaussian processes using pseudo-inputs. In Advances in Neural Information Processing Systems 18, pages 1257-1264. MIT press, 2006.

M Alvarez, N Lawrence. Sparse Convolved Gaussian Processes for Multi-output Regression. Advances in Neural Information Processing Systems, 2008.

    Dr Arman Melkumyan 
Rio Tinto Centre for Mine Automation 
Australian Centre for Field Robotics 
Link Building J13, Room 317 
University of Sydney