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Olivier Bousquet: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet
    Concentration Inequalities. [Citation Graph (0, 0)][DBLP]
    Advanced Lectures on Machine Learning, 2003, pp:208-240 [Conf]
  2. Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi
    Introduction to Statistical Learning Theory. [Citation Graph (0, 0)][DBLP]
    Advanced Lectures on Machine Learning, 2003, pp:169-207 [Conf]
  3. Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf
    Measuring Statistical Dependence with Hilbert-Schmidt Norms. [Citation Graph (0, 0)][DBLP]
    ALT, 2005, pp:63-77 [Conf]
  4. Olivier Bousquet, Vladimir Koltchinskii, Dmitriy Panchenko
    Some Local Measures of Complexity of Convex Hulls and Generalization Bounds. [Citation Graph (0, 0)][DBLP]
    COLT, 2002, pp:59-73 [Conf]
  5. Olivier Bousquet, Manfred K. Warmuth
    Tracking a Small Set of Experts by Mixing Past Posteriors. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:31-47 [Conf]
  6. Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson
    Localized Rademacher Complexities. [Citation Graph (0, 0)][DBLP]
    COLT, 2002, pp:44-58 [Conf]
  7. Matthias Hein, Olivier Bousquet
    Maximal Margin Classification for Metric Spaces. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:72-86 [Conf]
  8. Ulrike von Luxburg, Olivier Bousquet
    Distance-Based Classification with Lipschitz Functions. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:314-328 [Conf]
  9. Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin
    On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:457-471 [Conf]
  10. Laurent Zwald, Olivier Bousquet, Gilles Blanchard
    Statistical Properties of Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:594-608 [Conf]
  11. Matthias Hein, Thomas Navin Lal, Olivier Bousquet
    Hilbertian Metrics on Probability Measures and Their Application in SVM?s. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:270-277 [Conf]
  12. Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet
    Cascade Evaluation of Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:574-581 [Conf]
  13. Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet
    SSC: statistical subspace clustering. [Citation Graph (0, 0)][DBLP]
    EGC, 2005, pp:177-182 [Conf]
  14. Jason Weston, Bernhard Schölkopf, Olivier Bousquet
    Joint Kernel Maps. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:176-191 [Conf]
  15. Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf
    Evaluating Predictive Uncertainty Challenge. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:1-27 [Conf]
  16. Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet
    SSC: Statistical Subspace Clustering. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:100-109 [Conf]
  17. Jean-Yves Audibert, Olivier Bousquet
    PAC-Bayesian Generic Chaining. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  18. Olivier Bousquet, Olivier Chapelle, Matthias Hein
    Measure Based Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  19. Olivier Bousquet, André Elisseeff
    Algorithmic Stability and Generalization Performance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:196-202 [Conf]
  20. Olivier Bousquet, Daniel J. L. Herrmann
    On the Complexity of Learning the Kernel Matrix. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:399-406 [Conf]
  21. Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin
    Limits of Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  22. Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf
    Learning with Local and Global Consistency. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  23. Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf
    Ranking on Data Manifolds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  24. 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. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:6, pp:764-771 [Journal]
  25. Matthias Hein, Olivier Bousquet, Bernhard Schölkopf
    Maximal margin classification for metric spaces. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2005, v:71, n:3, pp:333-359 [Journal]
  26. Olivier Bousquet, André Elisseeff
    Stability and Generalization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:499-526 [Journal]
  27. Olivier Bousquet, André Elisseeff
    Stability and Generalization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:499-526 [Journal]
  28. Olivier Bousquet, Manfred K. Warmuth
    Tracking a Small Set of Experts by Mixing Past Posteriors. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:363-396 [Journal]
  29. Ulrike von Luxburg, Olivier Bousquet
    Distance-Based Classification with Lipschitz Functions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:669-695 [Journal]
  30. Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf
    A Compression Approach to Support Vector Model Selection. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:293-323 [Journal]
  31. Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf
    Kernel Methods for Measuring Independence. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:2075-2129 [Journal]
  32. Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee
    Choosing Multiple Parameters for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:131-159 [Journal]
  33. Gilles Blanchard, Olivier Bousquet, Laurent Zwald
    Statistical properties of kernel principal component analysis. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:66, n:2-3, pp:259-294 [Journal]
  34. Olivier Bousquet, André Elisseeff
    Guest editorial: Learning theory. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:66, n:2-3, pp:115-118 [Journal]

  35. The Tradeoffs of Large Scale Learning. [Citation Graph (, )][DBLP]


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