Bernhard Schölkopf

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	All	Since 2016
Citations	160475	66455
h-index	154	104
i10-index	527	433

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Co-authors

Alex SmolaAmazon Web ServicesVerified email at smola.org
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
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
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp
John C. PlattGoogleVerified email at google.com
Olivier BousquetGoogleVerified email at m4x.org
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at
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
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
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Manuel Gomez RodriguezTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org

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	19915*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14 (3), 199-222, 2004	10756	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	9194	1998
Semi-supervised learning O Chapelle, B Schölkopf, A Zien MIT Press, 2006	5612*	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	5588	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	5588	2009
Estimating the support of a high-dimensional distribution B Scholkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson	5105	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	5088	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	4388	2001
Learning with local and global consistency D Zhou, O Bousquet, T Lal, J Weston, B Schölkopf Advances in neural information processing systems 16, 321-328, 2003	4117	2003
Fisher discriminant analysis with kernels S Mika, G Rätsch, J Weston, B Schölkopf, K Müller Neural networks for signal processing IX, 1999	3375	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	3187	1998
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3116	2000
Advances in kernel methods support vector learning B Schèolkopf, CJC Burges, AJ Smola Cambridge, Mass., MIT Press, 1999	2526*	1999
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
Advances in kernel methods: support vector learning B Schölkopf, A Burges, C.J.C.: Smola The MIT press, 1999	2427*	1999
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2425	1997
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	2048	2012
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola Annals of Statistics 36 (3), 1171-1220, 2008	1680	2008
Large scale multiple kernel learning S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf Journal of Machine Learning Research 7 (Jul), 1531-1565, 2006	1620	2006

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