Search results

Conference Paper (21)

41.
Conference Paper
Bousquet, O.; Elisseeff, A.: Algorithmic Stability and Generalization Performance. In: Advances in Neural Information Processing Systems 13, pp. 196 - 202 (Eds. Leen, T.; Dietterich, T.; Tresp, V.). Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, November 27, 2000 - December 02, 2000. MIT Press, Cambridge, MA, USA (2001)

Talk (8)

42.
Talk
Bousquet, O.: Advanced Statistical Learning Theory. Machine Learning Summer School (MLSS 2004), Berder, France (2004)
43.
Talk
Bousquet, O.: Introduction to Category Theory. Max Planck Institute for Biological Cybernetics: Internal Seminar, Tübingen, Germany (2004)
44.
Talk
Bousquet, O.: Remarks on Statistical Learning Theory. 3rd Machine Learning Summer School (MLSS 2003), Tübingen, Germany (2003)
45.
Talk
Bousquet, O.: Statistical Learning Theory. 3rd Machine Learning Summer School (MLSS 2003), Tübingen, Germany (2003)
46.
Talk
Bousquet, O.: Rademacher and Gaussian averages in Learning Theory. Université Paris-Est Marne-la-Vallée, Champs-sur-Marne, France (2003)
47.
Talk
Bousquet, O.; Schölkopf, B.: Statistical Learning Theory. Interdisziplinäres Kolleg Günne 2003: Applications, Brains and Computers, Günne, Germany (2003)
48.
Talk
Bousquet, O.: Concentration Inequalities and Data-Dependent Error Bounds. Friedrich-Schiller-Universität, Jena, Germany (2003)
49.
Talk
Bousquet, O.: Transductive Learning: Motivation, Models, Algorithms. University of New Mexico, Albuquerque, NM, USA (2002)

Poster (2)

50.
Poster
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)
51.
Poster
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)

Thesis - PhD (1)

52.
Thesis - PhD
Bousquet, O.: Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms. Dissertation, 235 pp., École Polytechnique: Department of Applied Mathematics, Paris, France (2002)

Report (11)

53.
Report
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 pp.
54.
Report
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 pp.
55.
Report
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 pp.
56.
Report
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 pp.
57.
Report
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 pp.
58.
Report
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 pp.
59.
Report
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 pp.
60.
Report
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 pp.
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