Alex Smola

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	All	Since 2015
Citations	138631	71113
h-index	126	98
i10-index	339	266

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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 MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.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
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
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
Sebastian MikacomtravoVerified email at comtravo.com
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Mu LiAmazonVerified email at amazon.com
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Choon Hui TeoAmazonVerified email at amazon.com
Alexandros KaratzoglouGoogleVerified email at google.com
Ralf HerbrichZalandoVerified email at zalando.de
John C. PlattGoogleVerified email at google.com
Malte J RaschIBM Research AIVerified email at ibm.com
Manzil ZaheerGoogle ResearchVerified email at cmu.edu

Alex Smola

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Verified email at smola.org - Homepage

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	19334*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14 (3), 199-222, 2004	10417	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	9014	1998
Introduction to machine learning E Alpaydin MIT press, 2020	8241	2020
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	4932	2001
Support vector regression machines H Drucker, CJC Burges, L Kaufman, AJ Smola, V Vapnik Advances in neural information processing systems, 155-161, 1997	3693	1997
Support vector method for function approximation, regression estimation and signal processing V Vapnik, SE Golowich, AJ Smola Advances in neural information processing systems, 281-287, 1997	3345	1997
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3216	2000
Advances in kernel methods: support vector learning R Soentpiet MIT press, 1999	3165*	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	3065	1998
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	2496	2016
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2363	1997
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment Z Zhang, H Zha SIAM journal on scientific computing 26 (1), 313-338, 2004	2045	2004
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	1888	2012
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola The annals of statistics, 1171-1220, 2008	1611	2008
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	1512	1999
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	1491	2001
kernlab-an S4 package for kernel methods in R A Karatzoglou, A Smola, K Hornik, A Zeileis Journal of statistical software 11 (9), 1-20, 2004	1483	2004
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1473	2000
Support vector method for novelty detection B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt Advances in neural information processing systems, 582-588, 2000	1416	2000

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