Quinonero Candela, J., Rasmussen, C., Sinz, F., Bousquet, O., Schölkopf, B.
Evaluating Predictive Uncertainty Challenge
In Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, pages: 1-27, (Editors: J Quiñonero Candela and I Dagan and B Magnini and F d’Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop (MLCW), April 2006 (inproceedings)
Quinonero Candela, J., Dagan, I., Magnini, B., Lauria, F.
Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment
Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005), pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)
Quinonero Candela, J., Rasmussen, C.
A Unifying View of Sparse Approximate Gaussian Process Regression
Journal of Machine Learning Research, 6, pages: 1935-1959, December 2005 (article)
Quinonero Candela, J., Rasmussen, C.
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
In Switching and Learning in Feedback Systems, pages: 98-127, (Editors: Murray Smith, R. , R. Shorten), Springer, Berlin, Germany, European Summer School on Multi-Agent Control, 2005 (inproceedings)
Quinonero Candela, J., Winther, O.
Incremental Gaussian Processes
In Advances in Neural Information Processing Systems 15, pages: 1001-1008, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)