Alex Smola - Google Scholar Citations

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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
Robert C. WilliamsonProfessor of Computer Science, Australian National University; Distinguished Researcher, DATA61Verified email at anu.edu.au
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 of Machine Learning in the Life Sciences at 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
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Sebastian MikacomtravoVerified email at comtravo.com
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Choon Hui TeoAmazonVerified email at amazon.com
Mu LiAmazonVerified email at amazon.com
Ralf HerbrichZalandoVerified email at zalando.de
Alexandros KaratzoglouGoogleVerified email at google.com
Malte J RaschIBM Research AIVerified email at ibm.com
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Alex Smola

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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	18602*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14 (3), 199-222, 2004	9707	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	8635	1998
Introduction to machine learning E Alpaydin MIT press, 2020	7338	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	4598	2001
Support vector regression machines H Drucker, CJC Burges, L Kaufman, AJ Smola, V Vapnik Advances in neural information processing systems, 155-161, 1997	3299	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	3186	1997
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3115	2000
Advances in kernel methods: support vector learning R Soentpiet MIT press, 1999	3082*	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	2772	1998
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2205	1997
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	1770	2016
A kernel two-sample test A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola Journal of Machine Learning Research 13 (Mar), 723-773, 2012	1488	2012
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	1478	1999
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1423	2000
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola The annals of statistics, 1171-1220, 2008	1420	2008
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	1392	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	1328	2004
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	1218	2000
Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, AJ Smola Advances in neural information processing systems, 601-608, 2007	1173	2007

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