Olivier Bousquet - Citas de Google Académico

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; and Distinguished Amazon ScholarDirección de correo verificada de tuebingen.mpg.de
Sylvain GellyGoogle Brain ZurichDirección de correo verificada de m4x.org
Jason WestonFacebookDirección de correo verificada de fb.com
Olivier ChapelleGoogleDirección de correo verificada de chapelle.cc
Ulrike von LuxburgUniversity of TuebingenDirección de correo verificada de informatik.uni-tuebingen.de
arthur grettonGatsby Computational Neuroscience Unit, UCLDirección de correo verificada de gatsby.ucl.ac.uk
Gabor LugosiICREA and Universitat Pompeu FabraDirección de correo verificada de upf.edu
Stephane BoucheronProfessor mathematics, université Paris-DiderotDirección de correo verificada de univ-paris-diderot.fr
Alex SmolaAmazon Web ServicesDirección de correo verificada de smola.org
vapnikProfessor of Columbia, Fellow of NEC Labs America, Dirección de correo verificada de nec-labs.com
Dengyong (Denny) ZhouResearch Scientist, Google BrainDirección de correo verificada de google.com
Matthias HeinProfessor of Computer Science, University of TuebingenDirección de correo verificada de uni-tuebingen.de
Leon BottouFacebook AI ResearchDirección de correo verificada de bottou.org
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Ralf HerbrichAmazonDirección de correo verificada de amazon.com
Mikhail (Misha) BelkinProfessor of Computer Science and Statistics, Ohio State UniversityDirección de correo verificada de cse.osu.edu
Fernando Perez-CruzChief Data Scientist Swiss Data Science Center (ETH)Dirección de correo verificada de sdsc.ethz.ch
Gilles BlanchardProfessor of Statistics, University of PotsdamDirección de correo verificada de math.uni-potsdam.de

Olivier Bousquet

Google

Dirección de correo verificada de m4x.org

Machine Learning Learning Theory Artificial Intelligence


Título	Citado por	Año
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	3611	2004
Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1-3), 131-159, 2002	2933	2002
The tradeoffs of large scale learning L Bottou, O Bousquet Advances in neural information processing systems, 161-168, 2008	1286	2008
Stability and generalization O Bousquet, A Elisseeff Journal of machine learning research 2 (Mar), 499-526, 2002	1143	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	868	2005
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems, 169-176, 2004	764	2004
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	521	2005
Local rademacher complexities PL Bartlett, O Bousquet, S Mendelson The Annals of Statistics 33 (4), 1497-1537, 2005	500	2005
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer School on Machine Learning, 169-207, 2003	482	2003
Consistency of spectral clustering U Von Luxburg, M Belkin, O Bousquet The Annals of Statistics, 555-586, 2008	472	2008
A Bennett concentration inequality and its application to suprema of empirical processes O Bousquet Comptes Rendus Mathematique 334 (6), 495-500, 2002	283	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	265	2005
Wasserstein auto-encoders I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf arXiv preprint arXiv:1711.01558, 2017	245	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	231	2018
Concentration inequalities S Boucheron, G Lugosi, O Bousquet Summer School on Machine Learning, 208-240, 2003	218	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	156	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	153	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	148	2005
Measure based regularization O Bousquet, O Chapelle, M Hein Advances in Neural Information Processing Systems, 1221-1228, 2004	131	2004

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