Publikationen von O Bousquet

Bousquet, O.; Elisseeff, A.: Algorithmic Stability and Generalization Performance. In: Advances in Neural Information Processing Systems 13, S. 196 - 202 (Hg. Leen, T.; Dietterich, T.; Tresp, V.). Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, 27. November 2000 - 02. Dezember 2000. MIT Press, Cambridge, MA, USA (2001)

Bousquet, O.: Advanced Statistical Learning Theory. Machine Learning Summer School (MLSS 2004), Berder, France (2004)

Bousquet, O.: Introduction to Category Theory. Max Planck Institute for Biological Cybernetics: Internal Seminar, Tübingen, Germany (2004)

Bousquet, O.: Remarks on Statistical Learning Theory. 3rd Machine Learning Summer School (MLSS 2003), Tübingen, Germany (2003)

Bousquet, O.: Statistical Learning Theory. 3rd Machine Learning Summer School (MLSS 2003), Tübingen, Germany (2003)

Bousquet, O.: Rademacher and Gaussian averages in Learning Theory. Université Paris-Est Marne-la-Vallée, Champs-sur-Marne, France (2003)

Bousquet, O.; Schölkopf, B.: Statistical Learning Theory. Interdisziplinäres Kolleg Günne 2003: Applications, Brains and Computers, Günne, Germany (2003)

Bousquet, O.: Concentration Inequalities and Data-Dependent Error Bounds. Friedrich-Schiller-Universität, Jena, Germany (2003)

Bousquet, O.: Transductive Learning: Motivation, Models, Algorithms. University of New Mexico, Albuquerque, NM, USA (2002)

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based dependence detection in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based measures of dependence in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Bousquet, O.: Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms. Dissertation, 235 S., École Polytechnique: Department of Applied Mathematics, Paris, France (2002)

Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 140). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 16 S.

von Luxburg, U.; Belkin, M.; Bousquet, O.: Consistency of Spectral Clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 134). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 34 S.

Weston, J.; Schölkopf, B.; Bousquet, O.; Mann; Noble, W.: Joint Kernel Maps (Technical Report of the Max Planck Institute for Biological Cybernetics, 131). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Schölkopf, B.; Logothetis, N.: Behaviour and Convergence of the Constrained Covariance (Technical Report of the Max Planck Institute for Biological Cybernetics, 130). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 18 S.

Hein, M.; Bousquet, O.: Hilbertian Metrics and Positive Definite Kernels on Probability Measures (Max Planck Institute for Biological Cybernetics, 126). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 8 S.

Hein, M.; Bousquet, O.: Kernels, Associated Structures and Generalizations (Technical Report of the Max Planck Institute for Biological Cybernetics, 127). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 14 S.

Zhou, D.; Bousquet, O.; Lal, T.; Weston, J.; Schölkopf, B.: Learning with Local and Global Consistency (Technical Report of the Max Planck Institute for Biological Cybernetics, 112). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 S.

Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: Ranking on Data Manifolds (Technical Report of the Max Planck Institute for Biological Cybernetics, 113). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 S.