Olivier Bousquet
Note: Olivier Bousquet has transitioned from the institute (Alumni).
Empirical Inference Alumni

Empirical Inference
Article
Prototype Classification: Insights from Machine Learning
Graf, A., Bousquet, O., Rätsch, G., Schölkopf, B.
Neural Computation, 21(1):272-300, January 2009
PDF
Web
DOI
BibTeX
Empirical Inference
Article
Consistency of Spectral Clustering
von Luxburg, U., Belkin, M., Bousquet, O.
Annals of Statistics, 36(2):555-586, April 2008
PDF
DOI
BibTeX
Empirical Inference
Book Chapter
Joint Kernel Maps
Weston, J., Bakir, G., Bousquet, O., Mann, T., Noble, W., Schölkopf, B.
In Predicting Structured Data, 67-84, Advances in neural information processing systems, (Editors: GH Bakir and T Hofmann and B Schölkopf and AJ Smola and B Taskar and SVN Vishwanathan), MIT Press, Cambridge, MA, USA, September 2007
Web
BibTeX
Empirical Inference
Article
Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz
Bousquet, O., Schölkopf, B.
Statistical Science, 21(3):337-340, August 2006
DOI
BibTeX
Empirical Inference
Conference Paper
Evaluating Predictive Uncertainty Challenge
Quinonero Candela, J., Rasmussen, C., Sinz, F., Bousquet, O., Schölkopf, B.
In Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, 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 2005), April 2006
PDF
Web
DOI
BibTeX
Empirical Inference
Article
Statistical Properties of Kernel Principal Component Analysis
Blanchard, G., Bousquet, O., Zwald, L.
Machine Learning, 66(2-3):259-294, March 2006
PDF
PDF
DOI
BibTeX
Empirical Inference
Article
Kernel Methods for Measuring Independence
Gretton, A., Herbrich, R., Smola, A., Bousquet, O., Schölkopf, B.
Journal of Machine Learning Research, 6:2075-2129, December 2005
PDF
PostScript
PDF
BibTeX
Empirical Inference
Conference Paper
Measuring Statistical Dependence with Hilbert-Schmidt Norms
Gretton, A., Bousquet, O., Smola, A., Schoelkopf, B.
In Algorithmic Learning Theory: 16th International Conference, ALT 2005, Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734, 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005
PDF
DOI
BibTeX
Empirical Inference
Article
Maximal Margin Classification for Metric Spaces
Hein, M., Bousquet, O., Schölkopf, B.
Journal of Computer and System Sciences, 71(3):333-359, October 2005
PDF
PDF
DOI
BibTeX
Empirical Inference
Article
Local Rademacher Complexities
Bartlett, P., Bousquet, O., Mendelson, S.
The Annals of Statistics, 33(4):1497-1537, August 2005
PDF
PostScript
Web
BibTeX