Bernhard Schölkopf

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Citations	164013	67214
h-index	155	106
i10-index	536	434

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Co-authors

Alex SmolaAmazon Web ServicesVerified email at smola.org
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Jason WestonFacebookVerified email at fb.com
Olivier ChapelleGoogleVerified email at chapelle.cc
Sebastian MikacomtravoVerified email at comtravo.com
John C. PlattGoogleVerified email at google.com
Olivier BousquetGoogleVerified email at m4x.org
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Jonas PetersProfessor of Statistics, University of CopenhagenVerified email at math.ku.dk
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at
Jeremy HillResearch Scientist, Burke Neurological Institute and Blythedale Children's HospitalVerified email at med.cornell.edu
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
Manuel Gomez RodriguezTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp

Bernhard Schölkopf

Director, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and Distinguished

Verified email at tuebingen.mpg.de

Machine Learning Causal Inference Artificial Intelligence Computational Photography Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning with kernels: support vector machines, regularization, optimization, and beyond B Schölkopf, AJ Smola MIT press, 2002	20264*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14 (3), 199-222, 2004	10818	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	5910	1998
Semi-supervised learning O Chapelle, B Schölkopf, A Zien MIT Press, 2006	5673*	2006
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] O Chapelle, B Scholkopf, A Zien IEEE Transactions on Neural Networks 20 (3), 542-542, 2009	5628	2009
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] O Chapelle, B Scholkopf, A Zien IEEE Transactions on Neural Networks 20 (3), 542-542, 2009	5628	2009
Estimating the support of a high-dimensional distribution B Scholkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson	5153	1999
Estimating the support of a high-dimensional distribution B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson Neural computation 13 (7), 1443-1471, 2001	5138	2001
An introduction to kernel-based learning algorithms KR Muller, S Mika, G Ratsch, K Tsuda, B Scholkopf IEEE Transactions on Neural Networks 12 (2), 181-201, 2001	4425	2001
Nonlinear component analysis as a kernel eigenvalue problem S Lim	4402	2011
Learning with local and global consistency D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf Advances in neural information processing systems 16 (16), 321-328, 2004	4199	2004
Fisher discriminant analysis with kernels S Mika, G Rätsch, J Weston, B Schölkopf, K Müller Neural networks for signal processing IX, 1999	3411	1999
Support vector machines MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998	3165	1998
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3142	2000
A gene expression map of Arabidopsis thaliana development M Schmid, TS Davison, SR Henz, UJ Pape, M Demar, M Vingron, ... Nature genetics 37 (5), 501-506, 2005	2486	2005
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2438	1997
Advances in kernel methods support vector learning B Schèolkopf, CJC Burges, AJ Smola Cambridge, Mass., MIT Press, 1999	2404*	1999
Advances in kernel methods: support vector learning B Schölkopf, A Burges, C.J.C.: Smola The MIT press, 1999	2307*	1999
A kernel two-sample test A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola The Journal of Machine Learning Research 13 (1), 723-773, 2012	2063	2012
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola Annals of Statistics 36 (3), 1171-1220, 2008	1680	2008

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