PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

PASCAL Network

Full NameOlivier Bousquet
TitleResearch Scientist
SiteMax Planck Institut für Biologische Kybernetik
StatusTerminated
Tel+33 1 44 76 81 81
Fax+33 1 42 33 03 88
WWWwww.kyb.tuebingen.mpg.de/~bousquet

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Publications

Number of records: 32.

A compression approach to support vector model selection Ulrike Von Luxburg, Olivier Bousquet and Bernhard Schölkopf Article (April 2004)
Behaviour and Convergence of the Constrained Covariance Arthur Gretton, Alex Smola, Olivier Bousquet, Ralf Herbrich, Bernhard Schoelkopf and Nikos Logothetis Monograph Item not available online. (October 2004)
Combining PAC-Bayesian and generic chaining bounds Jean-Yves Audibert and Olivier Bousquet Article Item not available online. (20 April 2007)
Concentration inequalities Stephane Boucheron, Olivier Bousquet and Gábor Lugosi Book Section Item not available online. (2004)
Distance-based classification with Lipschitz functions Ulrike Von Luxburg and Olivier Bousquet Article (June 2004)
Feature selection and transduction for prediction of molecular bioactivity for drug design Jason Weston, Fernando Perez-Cruz, Andre Elisseeff, Olivier Bousquet, Olivier Chapelle and Bernhard Schölkopf Article Item availablity restricted. (June 2003)
Hilbertian metrics and positive definite kernels on probability measures Matthias Hein and Olivier Bousquet Conference or Workshop Item (28 September 2004)
Kernel Based Depdendence Detection in the Macaque Visual Cortex Arthur Gretton, Alex Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Bernhard Schölkopf and Nikos Logothetis Conference or Workshop Item Item not available online. (January 2005)
Kernel constrained covariance for dependence measurement Arthur Gretton, Alex Smola, Olivier Bousquet, Ralf Herbrich, Andreas Belitski, M Augath, Y Murayama, J Pauls, Bernhard Schölkopf and Nikos Logothetis Conference or Workshop Item (2005)
Kernel Constrained Covariance for Dependence Measurement Arthur Gretton, Alex Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, John Pauls, Bernhard Schölkopf and Nikos Logothetis Conference or Workshop Item (January 2005)
Kernel Constrained Covariance for Dependence Measurement Arthur Gretton, Alex Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schölkopf and Nikos Logothetis Conference or Workshop Item Item not available online. (05 January 2005)
Kernel methods and their applications to signal processing Olivier Bousquet and Fernando Perez-Cruz Conference or Workshop Item Item not available online. (March 2003)
Kernel Methods and Their Potential Use in Signal Processing Fernando Perez-Cruz and Olivier Bousquet Article Item not available online. (May 2004)
Kernel Methods for Measuring Independence Arthur Gretton, Ralf Herbrich, Alex Smola, Olivier Bousquet and Bernhard Schölkopf Article Item not available online. (August 2005)
Kernel methods for testing independence Arthur Gretton, Ralf Herbrich, Alex Smola, Olivier Bousquet and Bernhard Schölkopf Article (2005)
Learning with Local and Global Consistency Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston and Bernhard Schölkopf Conference or Workshop Item (2004)
Maximal margin classification for metric spaces Matthias Hein, Olivier Bousquet and Bernhard Schölkopf Article Item availablity restricted. (09 February 2004)
Measuring Statistical Dependence with Hilbert-Schmidt Norms Arthur Gretton, Olivier Bousquet, Alex Smola and Bernhard Schölkopf Article (October 2005)
Measuring Statistical Dependence with Hilbert-Schmidt Norms Arthur Gretton, Olivier Bousquet, Alex Smola and Bernhard Schölkopf Monograph (May 2005)
Measuring statistical dependence with hilbert-schmidt norms Arthur Gretton, Olivier Bousquet, Alex Smola and Bernhard Schölkopf Conference or Workshop Item (2005)
Moment inequalities for functions of independent random variables. Stephane Boucheron, Olivier Bousquet, Gábor Lugosi and Pascal Massart Article Item not available online. (2005)
On the Convergence of Spectral Clustering on Random Samples: The Normalized Case Ulrike von Luxburg, Olivier Bousquet and Mikhail Belkin Conference or Workshop Item (July 2004)
Ranking on Data Manifolds Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet and Bernhard Schölkopf Conference or Workshop Item (2004)
Statistical Learning Theory Olivier Bousquet, Stephane Boucheron and Gábor Lugosi Book Section Item not available online. (2004)
Statistical Performance of Support Vector Machines Gilles Blanchard, Olivier Bousquet and Pascal Massart Article Item not available online. (2008)
Statistical performance of support vector machines Pascal Massart, Gilles Blanchard and Olivier Bousquet Article Item not available online. (2004)
Statistical Properties of Kernel Principal Component Analysis Gilles Blanchard, Olivier Bousquet and Laurent Zwald Article (March 2007)
Statistical Properties of Kernel Principal Component Analysis Olivier Bousquet, Laurent Zwald and Gilles Blanchard Conference or Workshop Item (July 2004)
Statistical Properties of Kernel Principal Component Analysis Laurent Zwald, Olivier Bousquet and Gilles Blanchard Conference or Workshop Item Item not available online. (2004)
Theory of classification: some recent advances Stephane Boucheron, Olivier Bousquet and Gábor Lugosi Article Item not available online. (22 November 2005)
Theory of classification: some recent advances Olivier Bousquet, Stephane Boucheron and Gábor Lugosi Article Item not available online. (2004)
Unsupervised Learning Zoubin Ghahramani Book Section (2004)

This list was generated on Sun Mar 14 19:33:50 GMT 2010.