Olivier Bousquet - Google Scholar Citations

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; and Distinguished Amazon ScholarVerified email at tuebingen.mpg.de
Sylvain GellyGoogle Brain ZurichVerified email at m4x.org
Jason WestonFacebookVerified email at fb.com
Olivier ChapelleGoogleVerified email at chapelle.cc
Ulrike von LuxburgUniversity of TuebingenVerified email at informatik.uni-tuebingen.de
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu
Stephane BoucheronProfessor mathematics, université Paris-DiderotVerified email at univ-paris-diderot.fr
Alex SmolaAmazon Web ServicesVerified email at smola.org
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Dengyong (Denny) ZhouResearch Scientist, Google BrainVerified email at google.com
Matthias HeinProfessor of Computer Science, University of TuebingenVerified email at uni-tuebingen.de
Leon BottouFacebook AI ResearchVerified email at bottou.org
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Ralf HerbrichAmazonVerified email at amazon.com
Mikhail (Misha) BelkinProfessor of Computer Science and Statistics, Ohio State UniversityVerified email at cse.osu.edu
Fernando Perez-CruzChief Data Scientist Swiss Data Science Center (ETH)Verified email at sdsc.ethz.ch
Gilles BlanchardProfessor of Statistics, University of PotsdamVerified email at math.uni-potsdam.de

Olivier Bousquet

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Verified email at m4x.org

Machine Learning Learning Theory Artificial Intelligence


Title	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	3629	2004
Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1-3), 131-159, 2002	2941	2002
The tradeoffs of large scale learning L Bottou, O Bousquet Advances in neural information processing systems, 161-168, 2008	1293	2008
Stability and generalization O Bousquet, A Elisseeff Journal of machine learning research 2 (Mar), 499-526, 2002	1153	2002
Measuring statistical dependence with Hilbert-Schmidt norms A Gretton, O Bousquet, A Smola, B Schölkopf International conference on algorithmic learning theory, 63-77, 2005	881	2005
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems, 169-176, 2004	770	2004
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	525	2005
Local rademacher complexities PL Bartlett, O Bousquet, S Mendelson The Annals of Statistics 33 (4), 1497-1537, 2005	499	2005
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer School on Machine Learning, 169-207, 2003	486	2003
Consistency of spectral clustering U Von Luxburg, M Belkin, O Bousquet The Annals of Statistics, 555-586, 2008	479	2008
A Bennett concentration inequality and its application to suprema of empirical processes O Bousquet Comptes Rendus Mathematique 334 (6), 495-500, 2002	284	2002
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	268	2005
Wasserstein auto-encoders I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf arXiv preprint arXiv:1711.01558, 2017	249	2017
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	238	2018
Concentration inequalities S Boucheron, G Lugosi, O Bousquet Summer School on Machine Learning, 208-240, 2003	219	2003
Hilbertian metrics and positive definite kernels on probability measures M Hein, O Bousquet Max Planck Institute for Biological Cybernetics, 2004	193	2004
On the complexity of learning the kernel matrix O Bousquet, D Herrmann Advances in neural information processing systems, 415-422, 2003	157	2003
Tracking a small set of experts by mixing past posteriors O Bousquet, MK Warmuth Journal of Machine Learning Research 3 (Nov), 363-396, 2002	155	2002
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	149	2005
Limits of spectral clustering UV Luxburg, O Bousquet, M Belkin Advances in neural information processing systems, 857-864, 2005	131	2005

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