About
Discord Stateoftheart AI
GitHub

Publications

120

Cited by

19194

Olivier Bousquet

machine learninglearning theoryartificial intelligence
Google

United States

Papers and Citations

1 - 50
Learning with local and global consistency
2004
Olivier Bousquet
Denny Zhou
Jason Weston
+2
Cited by 4048
Choosing multiple parameters for support vector machines
2002
Sayan Mukherjee
Olivier Chapelle
Olivier Bousquet
+1
Cited by 3099
The tradeoffs of large scale learning
2008
Leon Bottou
Olivier Bousquet
Cited by 1533
Measuring statistical dependence with Hilbert-Schmidt norms
2005
Olivier Bousquet
arthur gretton
Alex Smola
+1
Cited by 1072
Ranking on data manifolds
2004
Denny Zhou
Olivier Bousquet
Bernhard Schölkopf
+2
Cited by 813
Theory of classification: A survey of some recent advances
2005
Gabor Lugosi
Stephane Boucheron
Olivier Bousquet
Cited by 632
Local rademacher complexities
2005
Peter Bartlett
Olivier Bousquet
S Mendelson
Cited by 603
Are gans created equal? a large-scale study
2018
Mario Lučić
Olivier Bousquet
Marcin Michalski
+3
Cited by 595
Wasserstein auto-encoders
2017
Bernhard Schölkopf
Sylvain Gelly
Olivier Bousquet
+2
Cited by 574
Consistency of spectral clustering
2008
Ulrike von Luxburg
Olivier Bousquet
M Belkin
Cited by 554
Introduction to statistical learning theory
2003
Stephane Boucheron
Gabor Lugosi
Olivier Bousquet
Cited by 553
Kernel methods for measuring independence
2005
Olivier Bousquet
Ralf Herbrich
Bernhard Schölkopf
+2
Cited by 314
Concentration inequalities
2003
Olivier Bousquet
Gabor Lugosi
Stephane Boucheron
Cited by 242
Hilbertian metrics and positive definite kernels on probability measures
2004
Matthias Hein
Olivier Bousquet
Cited by 197
Tracking a small set of experts by mixing past posteriors
2002
Olivier Bousquet
Manfred K. Warmuth
Cited by 180
Statistical performance of support vector machines
2008
Olivier Bousquet
Gilles Blanchard
P Massart
Cited by 176
Adagan: Boosting generative models
2017
Olivier Bousquet
Carl-Johann Simon-Gabriel
Sylvain Gelly
+2
Cited by 175
On the complexity of learning the kernel matrix
2003
Daniel Herrmann
Olivier Bousquet
Cited by 165
Moment inequalities for functions of independent random variables
2005
P Massart
Olivier Bousquet
Stephane Boucheron
+1
Cited by 162
Assessing generative models via precision and recall
2018
Mehdi SM Sajjadi
Olivier Bousquet
Mario Lučić
+5
Cited by 151
Limits of spectral clustering
2005
Olivier Bousquet
Ulrike von Luxburg
M Belkin
Cited by 139
Measure based regularization
2004
Matthias Hein
Olivier Bousquet
Olivier Chapelle
Cited by 139
Distance-based classification with Lipschitz functions
2004
Olivier Bousquet
Ulrike von Luxburg
Cited by 136
Statistical properties of kernel principal component analysis
2007
Gilles Blanchard
Olivier Bousquet
L Zwald
Cited by 132
Feature selection and transduction for prediction of molecular bioactivity for drug design
2003
Olivier Chapelle
Bernhard Schölkopf
Jason Weston
+3
Cited by 129
Kernel methods and their potential use in signal processing
2004
Olivier Bousquet
F Pérez-Cruz
Cited by 129
Algorithmic stability and generalization performance
2001
Andre Elisseeff
Olivier Bousquet
Cited by 124
Localized rademacher complexities
2002
Peter Bartlett
Olivier Bousquet
S Mendelson
Cited by 107
Approximation and convergence properties of generative adversarial learning
2017
Kamalika Chaudhuri
Shuang Liu
Olivier Bousquet
Cited by 97
Statistical learning theory
2003
Olivier Bousquet
Cited by 96
From optimal transport to generative modeling: the VEGAN cookbook
2017
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
Ilya Tolstikhin
+3
Cited by 90
Concentration inequalities for sub-additive functions using the entropy method
2003
Olivier Bousquet
Cited by 81
Evaluating predictive uncertainty challenge
2005
Fabian Sinz
Olivier Bousquet
Carl Edward Rasmussen
+2
Cited by 72
A compression approach to support vector model selection
2004
Ulrike von Luxburg
Olivier Bousquet
Bernhard Schölkopf
Cited by 71
New approaches to statistical learning theory
2003
Olivier Bousquet
Cited by 65
Kernels, associated structures and generalizations
2004
Olivier Bousquet
Matthias Hein
Cited by 65
On the convergence of spectral clustering on random samples: the normalized case
2004
M Belkin
Olivier Bousquet
Ulrike von Luxburg
Cited by 59
Maximal margin classification for metric spaces
2005
Bernhard Schölkopf
Matthias Hein
Olivier Bousquet
Cited by 58
Measuring compositional generalization: A comprehensive method on realistic data
2019
Daniel Furrer
Hylke Buisman
Xiao Wang
+11
Cited by 54
Kernel constrained covariance for dependence measurement
2005
Mark Augath
Nikos Logothetis
Jon Pauls
+7
Cited by 48
Some local measures of complexity of convex hulls and generalization bounds
2002
V Koltchinskii
Olivier Bousquet
Dmitry Panchenko
Cited by 46
Joint kernel maps
2005
Bernhard Schölkopf
Jason Weston
Olivier Bousquet
Cited by 39
Learning using Large Datasets.
2007
Olivier Bousquet
Leon Bottou
Cited by 38
Combining PAC-Bayesian and generic chaining bounds
2007
JY Audibert
Olivier Bousquet
Cited by 37
Spatial learning and localization in rodents: A computational model of the hippocampus and its implications for mobile robots
1999
K Balakrishnan
Olivier Bousquet
Vasant G Honavar
Cited by 36
Google research football: A novel reinforcement learning environment
2019
Karol Kurach
Piotr Stańczyk
Damien Vincent
+9
Cited by 32
Cascade evaluation of clustering algorithms
2006
Isabelle Tellier
Laurent Candillier
Olivier Bousquet
+1
Cited by 30
Is the hippocampus a kalman filter?
1997
K Balakrishnan
Olivier Bousquet
Vasant G Honavar
Cited by 27
Gradient descent quantizes relu network features
2018
Hartmut Maennel
Sylvain Gelly
Olivier Bousquet
Cited by 26
SSC: statistical subspace clustering
2005
Olivier Bousquet
Laurent Candillier
Fabien Torre
+1
Cited by 26