Olivier Bousquet
Olivier Bousquet
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Verified email at m4x.org
Title
Cited by
Cited by
Year
Learning with local and global consistency
D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf
Advances in neural information processing systems, 321-328, 2004
39982004
Choosing multiple parameters for support vector machines
O Chapelle, V Vapnik, O Bousquet, S Mukherjee
Machine learning 46 (1-3), 131-159, 2002
30842002
The tradeoffs of large scale learning
L Bottou, O Bousquet
Advances in neural information processing systems, 161-168, 2008
15062008
Stability and generalization
O Bousquet, A Elisseeff
Journal of machine learning research 2 (Mar), 499-526, 2002
13142002
Measuring statistical dependence with Hilbert-Schmidt norms
A Gretton, O Bousquet, A Smola, B Schölkopf
International conference on algorithmic learning theory, 63-77, 2005
10542005
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in neural information processing systems, 169-176, 2004
8122004
Theory of classification: A survey of some recent advances
S Boucheron, O Bousquet, G Lugosi
ESAIM: probability and statistics 9, 323-375, 2005
5802005
Local rademacher complexities
PL Bartlett, O Bousquet, S Mendelson
The Annals of Statistics 33 (4), 1497-1537, 2005
5802005
Consistency of spectral clustering
U Von Luxburg, M Belkin, O Bousquet
The Annals of Statistics, 555-586, 2008
5472008
Introduction to statistical learning theory
O Bousquet, S Boucheron, G Lugosi
Summer School on Machine Learning, 169-207, 2003
5472003
Are gans created equal? a large-scale study
M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet
Advances in neural information processing systems, 700-709, 2018
4242018
Wasserstein auto-encoders
I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf
arXiv preprint arXiv:1711.01558, 2017
4232017
Kernel methods for measuring independence
A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf
Journal of Machine Learning Research 6 (Dec), 2075-2129, 2005
3082005
A Bennett concentration inequality and its application to suprema of empirical processes
O Bousquet
Comptes Rendus Mathematique 334 (6), 495-500, 2002
3032002
Concentration inequalities
S Boucheron, G Lugosi, O Bousquet
Summer School on Machine Learning, 208-240, 2003
2402003
Hilbertian metrics and positive definite kernels on probability measures
M Hein, O Bousquet
Max Planck Institute for Biological Cybernetics, 2004
1942004
Statistical performance of support vector machines
G Blanchard, O Bousquet, P Massart
The Annals of Statistics 36 (2), 489-531, 2008
1752008
Tracking a small set of experts by mixing past posteriors
O Bousquet, MK Warmuth
Journal of Machine Learning Research 3 (Nov), 363-396, 2002
1682002
On the complexity of learning the kernel matrix
O Bousquet, D Herrmann
Advances in neural information processing systems, 415-422, 2003
1652003
Moment inequalities for functions of independent random variables
S Boucheron, O Bousquet, G Lugosi, P Massart
The Annals of Probability 33 (2), 514-560, 2005
1622005
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Articles 1–20