Alex Smola

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & MPIIVerified email at tu-berlin.de
Robert C. WilliamsonUniversity of TübingenVerified email at uni-tuebingen.de
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Mu LiAmazonVerified email at amazon.com
Sebastian MikacomtravoVerified email at comtravo.com
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Alexandros KaratzoglouGoogleVerified email at google.com
John C. PlattGoogleVerified email at google.com
Choon Hui TeoAmazonVerified email at amazon.com
Ralf HerbrichZalandoVerified email at zalando.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Alex Smola

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Machine Learning Deep Learning Systems


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 the MIT Press, 2002	20755*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14 (3), 199-222, 2004	11294	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	9568	1998
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	5465	2001
Support vector regression machines H Drucker, CJC Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 155-161, 1997	4360	1997
Support vector method for function approximation, regression estimation, and signal processing V Vapnik, SE Golowich, A Smola Advances in neural information processing systems, 281-287, 1997	3639	1997
Support vector machines MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998	3516	1998
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3417	2000
Hierarchical attention networks for document classification Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy Proceedings of the 2016 conference of the North American chapter of the …, 2016	3311	2016
Advances in kernel methods: support vector learning R Soentpiet MIT press, 1999	3171*	1999
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2577	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	2488	2012
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment Z Zhang, H Zha SIAM journal on scientific computing 26 (1), 313-338, 2004	2179	2004
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1-50, 2000	1949*	2000
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola The annals of statistics 36 (3), 1171-1220, 2008	1842	2008
Support vector method for novelty detection. B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt NIPS 12, 582-588, 1999	1691	1999
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	1665	2001
kernlab-an S4 package for kernel methods in R A Karatzoglou, A Smola, K Hornik, A Zeileis Journal of statistical software 11 (1), 1-20, 2004	1652	2004
Pairwise classification and support vector machines UHG Krebel Advances in kernel methods: support vector learning, 255-268, 1999	1639	1999
Input space versus feature space in kernel-based methods B Scholkopf, S Mika, CJC Burges, P Knirsch, KR Muller, G Ratsch, ... IEEE transactions on neural networks 10 (5), 1000-1017, 1999	1582	1999

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