Publikationen von O Bousquet

Hein, M.; Bousquet, O.: Hilbertian Metrics and Positive Definite Kernels on Probability Measures. In: AISTATS 2005: Tenth International Workshop onArtificial Intelligence and Statistics, S. 136 - 143 (Hg. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, 06. Januar 2005 - 08. Januar 2005. The Society for Artificial Intelligence and Statistics (2005)

Boucheron, S.; Lugosi, G.; Bousquet, O.: Concentration Inequalities. In: Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, S. 208 - 240 (Hg. Bousquet, O.; von Luxburg, U.; Rätsch, G.). ML Summer Schools 2003, Tübingen, Germany, 04. August 2003 - 16. August 2003. Springer, Berlin, Germany (2004)

Bousquet, O.; Boucheron, S.; Lugosi, G.: Introduction to Statistical Learning Theory. In: Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, S. 169 - 207 (Hg. Bousquet, O.; von Luxburg, U.; Rätsch, G.). Springer, Berlin, Germany (2004)

Hein, H.; Lal, T.; Bousquet, O.: Hilbertian Metrics on Probability Measures and their Application in SVM's. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, S. 270 - 277 (Hg. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004)

von Luxburg, U.; Bousquet, O.; Belkin, M.: On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. In: Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, S. 457 - 471 (Hg. Shawe-Taylor, J.; Singer, Y.). 17th Annual Conference on Learning Theory (COLT 2004), Banff, Canada, 01. Juli 2004 - 04. Juli 2004. Springer, Berlin, Germany (2004)

Zwald, L.; Bousquet, O.; Blanchard , G.: Statistical Properties of Kernel Principal Component Analysis. In: Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, S. 594 - 608 (Hg. Shawe-Taylor, J.; Singer, Y.). 17th Annual Conference on Learning Theory (COLT 2004), Banff, Canada, 01. Juli 2004 - 04. Juli 2004. Springer, Berlin, Germany (2004)

Audibert, J.-Y.; Bousquet, O.: PAC-Bayesian Generic Chaining. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, S. 1125 - 1132 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Bousquet, O.; Chapelle, O.; Hein, M.: Measure Based Regularization. In: Advances in Neural Information Processing Systems 16, S. 1221 - 1228 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 09. Dezember 2003 - 11. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Zhou, D.; Bousquet, O.; Lal, T.; Weston, J.; Schölkopf, B.: Learning with Local and Global Consistency. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, S. 321 - 328 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: Ranking on Data Manifolds. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 09. Dezember 2003 - 11. Dezember 2003. Advances in Neural Information Processing Systems 16, S. 169 - 176 (2004)

Hein, M.; Bousquet, O.: Maximal Margin Classification for Metric Spaces. In: Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, S. 72 - 86 (Hg. Schölkopf, B.; Warmuth, M.). 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Washington, DC, USA, 24. August 2003 - 27. August 2003. Springer, Berlin, Germany (2004)

Bousquet, O.; Herrmann, D.: On the Complexity of Learning the Kernel Matrix. In: Advances in Neural Information Processing Systems 15, S. 399 - 406 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)

von Luxburg, U.; Bousquet, O.: Distance-based classification with Lipschitz functions. In: Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, S. 314 - 328 (Hg. Schölkopf, B.; Warmuth, M.). 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Washington, DC, USA, 24. August 2003 - 27. August 2003. Springer, Berlin, Germany (2003)

Bousquet, O.; Perez-Cruz, F.: Kernel Methods and Their Applications to Signal Processing. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Bd. 4, S. 860 - 863. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China , 06. April 2003 - 10. April 2003. IEEE, Piscataway, NJ, USA (2003)

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)