Olivier Bousquet

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Sylvain GellyGoogle Brain ZurichVerified email at m4x.org
Jason WestonFacebookVerified email at fb.com
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu
Andre ElisseeffGoogleVerified email at google.com
Olivier ChapelleGoogleVerified email at chapelle.cc
Stephane BoucheronProfessor mathematics, Université de Paris (Paris-Diderot)Verified email at u-paris.fr
Alex SmolaAmazon Web ServicesVerified email at smola.org
Ilya TolstikhinGoogleVerified email at google.com
Denny ZhouResearch Scientist, Google BrainVerified email at google.com
Leon BottouFacebook AI ResearchVerified email at bottou.org
Mario LučićSenior Research Scientist, Google BrainVerified email at google.com
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Ralf HerbrichZalandoVerified email at zalando.de
Olivier BachemResearch Scientist, Google BrainVerified email at google.com
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, UCSDVerified email at ucsd.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu

Olivier Bousquet

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Machine Learning Learning Theory Artificial Intelligence


Title Sort by citations Sort by year Sort by 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	4288	2004
Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1), 131-159, 2002	3189	2002
13 the tradeoffs of large-scale learning L Bottou, O Bousquet Optimization for machine learning, 351, 2011	1636	2011
Stability and generalization O Bousquet, A Elisseeff The Journal of Machine Learning Research 2, 499-526, 2002	1433	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	1136	2005
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems 16, 169-176, 2004	863	2004
Local rademacher complexities PL Bartlett, O Bousquet, S Mendelson The Annals of Statistics 33 (4), 1497-1537, 2005	649	2005
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	623	2005
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer School on Machine Learning, 169-207, 2003	600	2003
Consistency of spectral clustering U Von Luxburg, M Belkin, O Bousquet The Annals of Statistics, 555-586, 2008	581	2008
Are gans created equal? a large-scale study M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet arXiv preprint arXiv:1711.10337, 2017	556	2017
Wasserstein auto-encoders I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf arXiv preprint arXiv:1711.01558, 2017	546	2017
Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf MIT Press, 2005	335	2005
A Bennett concentration inequality and its application to suprema of empirical processes O Bousquet Comptes Rendus Mathematique 334 (6), 495-500, 2002	312	2002
Concentration inequalities S Boucheron, G Lugosi, O Bousquet Summer school on machine learning, 208-240, 2003	252	2003
Hilbertian metrics and positive definite kernels on probability measures M Hein, O Bousquet International Workshop on Artificial Intelligence and Statistics, 136-143, 2005	205	2005
Statistical performance of support vector machines G Blanchard, O Bousquet, P Massart Annals of Statistics 36 (2), 489-531, 2008	178	2008
Tracking a small set of experts by mixing past posteriors O Bousquet, MK Warmuth Journal of Machine Learning Research 3 (Nov), 363-396, 2002	178	2002
Moment inequalities for functions of independent random variables S Boucheron, O Bousquet, G Lugosi, P Massart Annals of Probability 33 (2), 514-560, 2005	167	2005
On the complexity of learning the kernel matrix O Bousquet, DJL Herrmann Advances in neural information processing systems, 415-422, 2003	167	2003

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