Alex Smola

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail confirmado em tuebingen.mpg.de
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindEmail confirmado em gatsby.ucl.ac.uk
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail confirmado em tu-berlin.de
Robert C. WilliamsonUniversity of TübingenEmail confirmado em uni-tuebingen.de
Mu LiAmazonEmail confirmado em amazon.com
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityEmail confirmado em stat.purdue.edu
Amr AhmedSenior Staff Research Scientist, Google AIEmail confirmado em google.com
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryEmail confirmado em biochem.mpg.de
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceEmail confirmado em mbzuai.ac.ae
Gunnar RätschProfessor, ETH ZürichEmail confirmado em inf.ethz.ch
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
Quoc V. LeResearch Scientist, GoogleEmail confirmado em stanford.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, Email confirmado em nec-labs.com
Sebastian MikaEmail confirmado em sebastianmika.info
John Shawe-TaylorUCLEmail confirmado em cs.ucl.ac.uk
Jonas MuellerCleanlabEmail confirmado em csail.mit.edu
Manzil ZaheerGoogle ResearchEmail confirmado em cmu.edu
Choon Hui TeoAmazonEmail confirmado em amazon.com
Alexandros KaratzoglouGoogle DeepmindEmail confirmado em google.com
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu

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Alex Smola

Boson AI

Email confirmado em smola.org - Página inicial

Machine Learning Deep Learning Systems


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Learning with kernels: Support vector machines, regularization, optimization, and beyond B Schölkopf, AJ Smola the MIT Press, 2002	25063*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14, 199-222, 2004	16026	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	11194	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	7675	2001
Support vector regression machines H Drucker, CJ Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 1996	7279	1996
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	6329	2012
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	6262	2016
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	4408	1996
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3831	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	3276	1999
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	3107	2017
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola	3038	2008
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	2803	2006
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	2803	1997
Advances in kernel methods: support vector learning B Schölkopf, CJC Burges, AJ Smola MIT press, 1999	2689	1999
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	2402	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	2393	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	2354	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	2262	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	2242	2004

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