Alex Smola

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerifisert e-postadresse på tuebingen.mpg.de
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerifisert e-postadresse på gatsby.ucl.ac.uk
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerifisert e-postadresse på tu-berlin.de
Robert C. WilliamsonUniversity of TübingenVerifisert e-postadresse på uni-tuebingen.de
Mu LiAmazonVerifisert e-postadresse på amazon.com
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerifisert e-postadresse på stat.purdue.edu
Amr AhmedSenior Staff Research Scientist, Google AIVerifisert e-postadresse på google.com
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryVerifisert e-postadresse på biochem.mpg.de
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerifisert e-postadresse på biomap.com
Gunnar RätschProfessor, ETH ZürichVerifisert e-postadresse på inf.ethz.ch
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerifisert e-postadresse på cs.berkeley.edu
Quoc V. LeResearch Scientist, GoogleVerifisert e-postadresse på stanford.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verifisert e-postadresse på nec-labs.com
Sebastian MikaVerifisert e-postadresse på sebastianmika.info
John Shawe-TaylorUCLVerifisert e-postadresse på cs.ucl.ac.uk
Jonas MuellerCleanlabVerifisert e-postadresse på csail.mit.edu
Manzil ZaheerGoogle ResearchVerifisert e-postadresse på cmu.edu
Choon Hui TeoAmazonVerifisert e-postadresse på amazon.com
Alexandros KaratzoglouGoogle DeepmindVerifisert e-postadresse på google.com
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerifisert e-postadresse på cs.cmu.edu

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Alex Smola

Boson AI

Verifisert e-postadresse på smola.org - Startside

Machine Learning Deep Learning Systems


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Learning with kernels: Support vector machines, regularization, optimization, and beyond B Schölkopf, AJ Smola the MIT Press, 2002	24851*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14, 199-222, 2004	15756	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	11119	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	7552	2001
Support vector regression machines H Drucker, CJ Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 1996	7109	1996
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	6139	2016
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	6104	2012
Support vector method for function approximation, regression estimation and signal processing V Vapnik, S Golowich, A Smola Advances in neural information processing systems 9, 1996	4362	1996
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3805	2000
Support vector method for novelty detection B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt Advances in neural information processing systems 12, 1999	3192	1999
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola	2976	2008
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	2972	2017
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2750	1997
A kernel method for the two-sample-problem A Gretton, K Borgwardt, M Rasch, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	2743	2006
Advances in kernel methods: support vector learning B Schölkopf, CJC Burges, AJ Smola MIT press, 1999	2677	1999
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	2357	2001
Stacked attention networks for image question answering Z Yang, X He, J Gao, L Deng, A Smola Proceedings of the IEEE conference on computer vision and pattern …, 2016	2351	2016
Scaling distributed machine learning with the parameter server M Li, DG Andersen, JW Park, AJ Smola, A Ahmed, V Josifovski, J Long, ... 11th USENIX Symposium on operating systems design and implementation (OSDI …, 2014	2313	2014
Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	2231	2006
kernlab-an S4 package for kernel methods in R A Karatzoglou, A Smola, K Hornik, A Zeileis Journal of statistical software 11, 1-20, 2004	2220	2004

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