Gaussian Processes

Some relevant publications:

• Snelson, E., and Ghahramani, Z. (2007)
  Local and global sparse Gaussian process approximations.
  To appear in Eleventh International Conference on Artifical Intelligence and Statistics (AISTATS 2007). San Juan, Puerto Rico.

• Chu, W., Sindhwani, V., Keerthi, S., Ghahramani, Z. (2007)
  Relational Gaussian Processes.
  In Advances in Neural Information Processing Systems 19 (NIPS-2006). Cambridge, MA: MIT Press.

• Snelson, E., and Ghahramani, Z. (2006)
  Variable noise and dimensionality reduction for sparse Gaussian processes.
  In Uncertainty in Artificial Intelligence (UAI-2006).

• Snelson, E. and Ghahramani, Z. (2006)
  Sparse Gaussian Processes using Pseudo-Inputs.
  To appear in Advances in Neural Information Processing Systems 18 (NIPS-2005).

• Kim, H.-C., Ghahramani, Z. (2006)
  Bayesian Gaussian Process Classification with the EM-EP Algorithm.
  IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12):1948--1959.

• Chu, W., and Ghahramani, Z. (2005)
  Preference Learning with Gaussian Processes.
  In Twenty-second International Conference on Machine Learning (ICML-2005).

• Chu, W., and Ghahramani, Z. (2005)
  Gaussian Processes for Ordinal Regression
  Journal of Machine Learning Research, 6:1019--1041. [abstract]

• Chu, W., Ghahramani, Z., Falciani, F., and Wild, D. L. (2005)
  Biomarker Discovery in Microarray Gene Expression Data with Gaussian Processes.
  Bioinformatics, 21(16):3385-3393. [abstract] [official pdf file at Bioinformatics website]

• Snelson, E., Rasmussen, C.E., and Ghahramani, Z. (2004)
  Warped Gaussian Processes.
  In Advances in Neural Information Processing Systems 16 (NIPS 2003). Cambridge, MA: MIT Press.

• Tuttle, E. and Ghahramani, Z. (2004)
  Propagating Uncertainty in POMDP Value Iteration with Gaussian Processes [ps] [pdf]
  Gatsby Technical Report.
• Kim, H.-C. and Ghahramani, Z. (2003)
  The EM-EP Algorithm for Gaussian Process Classification
  In the Proceedings of the Workshop on Probabilistic Graphical Models for Classification (at ECML). Dubrovnik, Croatia.
• Zhu, X., Lafferty, J., and Ghahramani, Z. (2003)
  Semi-Supervised Learning: From Gaussian Fields to Gaussian Processes.
  CMU tech report CMU-CS-03-175 , 2003. [gzipped ps | pdf]
• Rasmussen, C. E and Ghahramani, Z. (2002)
  Infinite Mixtures of Gaussian Process Experts [ps] [abstract]
  In Dietterich, T.G., Becker, S. and Ghahramani, Z. (eds) Neural Information Processing Systems 14: 881-888. Cambridge, MA, MIT Press.