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Title
Cited by
Cited by
Year
Learning with local and global consistency
D Zhou, O Bousquet, T Lal, J Weston, B Schölkopf
Advances in neural information processing systems 16, 2003
49202003
Choosing multiple parameters for support vector machines
O Chapelle, V Vapnik, O Bousquet, S Mukherjee
Machine learning 46, 131-159, 2002
33512002
The tradeoffs of large scale learning
L Bottou, O Bousquet
Advances in neural information processing systems 20, 2007
19642007
Stability and generalization
O Bousquet, A Elisseeff
The Journal of Machine Learning Research 2, 499-526, 2002
17502002
Measuring statistical dependence with Hilbert-Schmidt norms
A Gretton, O Bousquet, A Smola, B Schölkopf
Algorithmic Learning Theory: 16th International Conference, ALT 2005 …, 2005
15672005
Are gans created equal? a large-scale study
M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet
Advances in neural information processing systems 31, 2018
9542018
Wasserstein auto-encoders
I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf
arXiv preprint arXiv:1711.01558, 2017
9512017
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in neural information processing systems 16, 2003
9322003
Local rademacher complexities
PL Bartlett, O Bousquet, S Mendelson
7902005
Introduction to statistical learning theory
O Bousquet, S Boucheron, G Lugosi
Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra …, 2004
7372004
Theory of classification: A survey of some recent advances
S Boucheron, O Bousquet, G Lugosi
ESAIM: probability and statistics 9, 323-375, 2005
7012005
Consistency of spectral clustering
U Von Luxburg, M Belkin, O Bousquet
The Annals of Statistics, 555-586, 2008
6882008
Kernel methods for measuring independence
A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf
MIT Press, 2005
4102005
A Bennett concentration inequality and its application to suprema of empirical processes
O Bousquet
Comptes Rendus Mathematique 334 (6), 495-500, 2002
3502002
Assessing generative models via precision and recall
MSM Sajjadi, O Bachem, M Lucic, O Bousquet, S Gelly
Advances in neural information processing systems 31, 2018
3162018
Concentration inequalities
S Boucheron, G Lugosi, O Bousquet
Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra …, 2004
2732004
Adagan: Boosting generative models
IO Tolstikhin, S Gelly, O Bousquet, CJ Simon-Gabriel, B Schölkopf
Advances in neural information processing systems 30, 2017
2422017
Hilbertian metrics and positive definite kernels on probability measures
M Hein, O Bousquet
International Workshop on Artificial Intelligence and Statistics, 136-143, 2005
2152005
Measuring compositional generalization: A comprehensive method on realistic data
D Keysers, N Schärli, N Scales, H Buisman, D Furrer, S Kashubin, ...
arXiv preprint arXiv:1912.09713, 2019
2002019
Distance-Based Classification with Lipschitz Functions.
U von Luxburg, O Bousquet
J. Mach. Learn. Res. 5 (Jun), 669-695, 2004
2002004
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