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Journal Article (2)

1.
Journal Article
Lázaro-Gredilla, M.; Quiñonero-Candela, J.; Rasmussen, C.; Figueiras-Vidal, A.: Sparse Spectrum Gaussian Process Regression. Journal of Machine Learning Research 11, pp. 1865 - 1881 (2010)
2.
Journal Article
Quinonero Candela, J.; Rasmussen, C.: A Unifying View of Sparse Approximate Gaussian Process Regression. The Journal of Machine Learning Research 6, pp. 1935 - 1959 (2005)

Book Chapter (1)

3.
Book Chapter
Quiñonero-Candela, J.; Rasmussen, C.; Williams, C.: Approximation Methods for Gaussian Process Regression. In: Large-Scale Kernel Machines, pp. 203 - 223 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Proceedings (1)

4.
Proceedings
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005 (Lecture Notes in Computer Science, 3944). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, April 11, 2005 - April 13, 2005. Springer, Berlin, Germany (2006), 462 pp.

Conference Paper (9)

5.
Conference Paper
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: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, pp. 1 - 27 (Eds. Quiñonero-Candela, J.; Dagan, I.; Magnini, B.; d’Alché-Buc, F.). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, April 11, 2005 - April 13, 2005. Springer, Berlin, Germany (2006)
6.
Conference Paper
Rasmussen, C.; Candela, J.: Healing the Relevance Vector Machine through Augmentation. In: ICML '05: 22nd international conference on Machine learning, pp. 689 - 696 (Eds. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)
7.
Conference Paper
Zien, A.; Candela, J.: Large Margin Non-Linear Embedding. In: ICML '05: 22nd international conference on Machine learning, pp. 1065 - 1072 (Eds. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)
8.
Conference Paper
Quinonero Candela, J.; Rasmussen, C.: Analysis of Some Methods for Reduced Rank Gaussian Process Regression. In: Switching and Learning in Feedback Systems: European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, pp. 98 - 127 (Eds. Murray-Smith, R.; Shorten, R.). European Summer School on Multi-Agent Control 2003, Maynooth, Ireland, September 08, 2005 - September 10, 2005. Springer, Berlin, Germany (2005)
9.
Conference Paper
Sinz, F.; Candela, J.; BakIr, G.; Rasmussen, C.; Franz, M.: Learning Depth From Stereo. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 245 - 252 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)
10.
Conference Paper
Girard, A.; Rasmussen, C.; Quiñonero-Candela, J.; Murray-Smith, R.: Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting. In: Advances in Neural Information Processing Systems 15, pp. 529 - 536 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)
11.
Conference Paper
Quinonero Candela, J.; Winther, O.: Incremental Gaussian Processes. In: Advances in Neural Information Processing Systems 15, pp. 1001 - 1008 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)
12.
Conference Paper
Quiñonero-Candela, J.; Girard, A.; Larsen, J.; Rasmussen, C.: Propagation of Uncertainty in Bayesian Kernel Models: Application to Multiple-Step Ahead Forecasting. In: 13th IEEE International Workshop on Neural Networks for Signal Processing (NNSP 2003). 13th IEEE International Workshop on Neural Networks for Signal Processing (NNSP 2003), Toulouse, France, September 17, 2003 - September 19, 2003. (2003)
13.
Conference Paper
Quiñonero-Candela, J.; Girard, A.; Larsen, J.; Rasmussen, C.: Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Vol. 2, pp. 701 - 704. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003), Hong Kong, China, April 06, 2003 - April 10, 2003. IEEE, Piscataway, NJ, USA (2003)

Thesis - PhD (1)

14.
Thesis - PhD
Quiñonero-Candela, J.: Learning with Uncertainty: Gaussian Processes and Relevance Vector Machines. Dissertation, 170 pp., Technical University of Denmark, Lyngby, Denmark (2004)

Report (1)

15.
Report
Quiñonero-Candela, J.; Girard, A.; Rasmussen, C.: Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting. Technical University of Denmark, DTU: Informatics and Mathematical Modelling, Kopenhagen, Denmark (2003), 14 pp.
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