![]() | ![]() |
| 2009 | ||
|---|---|---|
| 38 | Arnulf B. A. Graf, Olivier Bousquet, Gunnar Rätsch, Bernhard Schölkopf: Prototype Classification: Insights from Machine Learning. Neural Computation 21(1): 272-300 (2009) | |
| 2007 | ||
| 37 | Léon Bottou, Olivier Bousquet: The Tradeoffs of Large Scale Learning. NIPS 2007 | |
| 36 | Jean-Yves Audibert, Olivier Bousquet: Combining PAC-Bayesian and Generic Chaining Bounds. Journal of Machine Learning Research 8: 863-889 (2007) | |
| 35 | Olivier Bousquet, André Elisseeff: Guest editorial: Learning theory. Machine Learning 66(2-3): 115-118 (2007) | |
| 34 | Gilles Blanchard, Olivier Bousquet, Laurent Zwald: Statistical properties of kernel principal component analysis. Machine Learning 66(2-3): 259-294 (2007) | |
| 2006 | ||
| 33 | Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet: Cascade Evaluation of Clustering Algorithms. ECML 2006: 574-581 | |
| 2005 | ||
| 32 | Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf: Measuring Statistical Dependence with Hilbert-Schmidt Norms. ALT 2005: 63-77 | |
| 31 | Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet: SSC: statistical subspace clustering. EGC 2005: 177-182 | |
| 30 | Jason Weston, Bernhard Schölkopf, Olivier Bousquet: Joint Kernel Maps. IWANN 2005: 176-191 | |
| 29 | Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf: Evaluating Predictive Uncertainty Challenge. MLCW 2005: 1-27 | |
| 28 | Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet: SSC: Statistical Subspace Clustering. MLDM 2005: 100-109 | |
| 27 | Matthias Hein, Olivier Bousquet, Bernhard Schölkopf: Maximal margin classification for metric spaces. J. Comput. Syst. Sci. 71(3): 333-359 (2005) | |
| 26 | Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf: Kernel Methods for Measuring Independence. Journal of Machine Learning Research 6: 2075-2129 (2005) | |
| 2004 | ||
| 25 | Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch: Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures Springer 2004 | |
| 24 | Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin: On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. COLT 2004: 457-471 | |
| 23 | Laurent Zwald, Olivier Bousquet, Gilles Blanchard: Statistical Properties of Kernel Principal Component Analysis. COLT 2004: 594-608 | |
| 22 | Matthias Hein, Thomas Navin Lal, Olivier Bousquet: Hilbertian Metrics on Probability Measures and Their Application in SVM?s. DAGM-Symposium 2004: 270-277 | |
| 21 | Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin: Limits of Spectral Clustering. NIPS 2004 | |
| 20 | Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf: A Compression Approach to Support Vector Model Selection. Journal of Machine Learning Research 5: 293-323 (2004) | |
| 19 | Ulrike von Luxburg, Olivier Bousquet: Distance-Based Classification with Lipschitz Functions. Journal of Machine Learning Research 5: 669-695 (2004) | |
| 2003 | ||
| 18 | Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi: Introduction to Statistical Learning Theory. Advanced Lectures on Machine Learning 2003: 169-207 | |
| 17 | Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet: Concentration Inequalities. Advanced Lectures on Machine Learning 2003: 208-240 | |
| 16 | Ulrike von Luxburg, Olivier Bousquet: Distance-Based Classification with Lipschitz Functions. COLT 2003: 314-328 | |
| 15 | Matthias Hein, Olivier Bousquet: Maximal Margin Classification for Metric Spaces. COLT 2003: 72-86 | |
| 14 | Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf: Learning with Local and Global Consistency. NIPS 2003 | |
| 13 | Olivier Bousquet, Olivier Chapelle, Matthias Hein: Measure Based Regularization. NIPS 2003 | |
| 12 | Jean-Yves Audibert, Olivier Bousquet: PAC-Bayesian Generic Chaining. NIPS 2003 | |
| 11 | Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf: Ranking on Data Manifolds. NIPS 2003 | |
| 10 | Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 19(6): 764-771 (2003) | |
| 2002 | ||
| 9 | Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson: Localized Rademacher Complexities. COLT 2002: 44-58 | |
| 8 | Olivier Bousquet, Vladimir Koltchinskii, Dmitriy Panchenko: Some Local Measures of Complexity of Convex Hulls and Generalization Bounds. COLT 2002: 59-73 | |
| 7 | Olivier Bousquet, Daniel J. L. Herrmann: On the Complexity of Learning the Kernel Matrix. NIPS 2002: 399-406 | |
| 6 | Olivier Bousquet, André Elisseeff: Stability and Generalization. Journal of Machine Learning Research 2: 499-526 (2002) | |
| 5 | Olivier Bousquet, André Elisseeff: Stability and Generalization. Journal of Machine Learning Research 2: 499-526 (2002) | |
| 4 | Olivier Bousquet, Manfred K. Warmuth: Tracking a Small Set of Experts by Mixing Past Posteriors. Journal of Machine Learning Research 3: 363-396 (2002) | |
| 3 | Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46(1-3): 131-159 (2002) | |
| 2001 | ||
| 2 | Olivier Bousquet, Manfred K. Warmuth: Tracking a Small Set of Experts by Mixing Past Posteriors. COLT/EuroCOLT 2001: 31-47 | |
| 2000 | ||
| 1 | Olivier Bousquet, André Elisseeff: Algorithmic Stability and Generalization Performance. NIPS 2000: 196-202 | |
Colors in the list of coauthors
Last update Sun May 27 04:04:01 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page