2007 |
36 | EE | Léon Bottou,
Olivier Bousquet:
The Tradeoffs of Large Scale Learning.
NIPS 2007 |
35 | EE | Olivier Bousquet,
André Elisseeff:
Guest editorial: Learning theory.
Machine Learning 66(2-3): 115-118 (2007) |
34 | EE | Gilles Blanchard,
Olivier Bousquet,
Laurent Zwald:
Statistical properties of kernel principal component analysis.
Machine Learning 66(2-3): 259-294 (2007) |
2006 |
33 | EE | Laurent Candillier,
Isabelle Tellier,
Fabien Torre,
Olivier Bousquet:
Cascade Evaluation of Clustering Algorithms.
ECML 2006: 574-581 |
2005 |
32 | EE | 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 | EE | Jason Weston,
Bernhard Schölkopf,
Olivier Bousquet:
Joint Kernel Maps.
IWANN 2005: 176-191 |
29 | EE | Joaquin Quiñonero Candela,
Carl Edward Rasmussen,
Fabian H. Sinz,
Olivier Bousquet,
Bernhard Schölkopf:
Evaluating Predictive Uncertainty Challenge.
MLCW 2005: 1-27 |
28 | EE | Laurent Candillier,
Isabelle Tellier,
Fabien Torre,
Olivier Bousquet:
SSC: Statistical Subspace Clustering.
MLDM 2005: 100-109 |
27 | EE | Matthias Hein,
Olivier Bousquet,
Bernhard Schölkopf:
Maximal margin classification for metric spaces.
J. Comput. Syst. Sci. 71(3): 333-359 (2005) |
26 | EE | 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 | EE | Ulrike von Luxburg,
Olivier Bousquet,
Mikhail Belkin:
On the Convergence of Spectral Clustering on Random Samples: The Normalized Case.
COLT 2004: 457-471 |
23 | EE | Laurent Zwald,
Olivier Bousquet,
Gilles Blanchard:
Statistical Properties of Kernel Principal Component Analysis.
COLT 2004: 594-608 |
22 | EE | Matthias Hein,
Thomas Navin Lal,
Olivier Bousquet:
Hilbertian Metrics on Probability Measures and Their Application in SVM?s.
DAGM-Symposium 2004: 270-277 |
21 | EE | Ulrike von Luxburg,
Olivier Bousquet,
Mikhail Belkin:
Limits of Spectral Clustering.
NIPS 2004 |
20 | EE | 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 | EE | Ulrike von Luxburg,
Olivier Bousquet:
Distance-Based Classification with Lipschitz Functions.
Journal of Machine Learning Research 5: 669-695 (2004) |
2003 |
18 | EE | Olivier Bousquet,
Stéphane Boucheron,
Gábor Lugosi:
Introduction to Statistical Learning Theory.
Advanced Lectures on Machine Learning 2003: 169-207 |
17 | EE | Stéphane Boucheron,
Gábor Lugosi,
Olivier Bousquet:
Concentration Inequalities.
Advanced Lectures on Machine Learning 2003: 208-240 |
16 | EE | Ulrike von Luxburg,
Olivier Bousquet:
Distance-Based Classification with Lipschitz Functions.
COLT 2003: 314-328 |
15 | EE | Matthias Hein,
Olivier Bousquet:
Maximal Margin Classification for Metric Spaces.
COLT 2003: 72-86 |
14 | EE | Dengyong Zhou,
Olivier Bousquet,
Thomas Navin Lal,
Jason Weston,
Bernhard Schölkopf:
Learning with Local and Global Consistency.
NIPS 2003 |
13 | EE | Olivier Bousquet,
Olivier Chapelle,
Matthias Hein:
Measure Based Regularization.
NIPS 2003 |
12 | EE | Jean-Yves Audibert,
Olivier Bousquet:
PAC-Bayesian Generic Chaining.
NIPS 2003 |
11 | EE | 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 | EE | Peter L. Bartlett,
Olivier Bousquet,
Shahar Mendelson:
Localized Rademacher Complexities.
COLT 2002: 44-58 |
8 | EE | Olivier Bousquet,
Vladimir Koltchinskii,
Dmitriy Panchenko:
Some Local Measures of Complexity of Convex Hulls and Generalization Bounds.
COLT 2002: 59-73 |
7 | EE | Olivier Bousquet,
Daniel J. L. Herrmann:
On the Complexity of Learning the Kernel Matrix.
NIPS 2002: 399-406 |
6 | EE | Olivier Bousquet,
André Elisseeff:
Stability and Generalization.
Journal of Machine Learning Research 2: 499-526 (2002) |
5 | EE | Olivier Bousquet,
André Elisseeff:
Stability and Generalization.
Journal of Machine Learning Research 2: 499-526 (2002) |
4 | EE | 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 | EE | 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 |