Alex Smola

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Soavtorji

Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHPreverjeni e-poštni naslov na tuebingen.mpg.de
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindPreverjeni e-poštni naslov na gatsby.ucl.ac.uk
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyPreverjeni e-poštni naslov na tu-berlin.de
Robert C. WilliamsonUniversity of TübingenPreverjeni e-poštni naslov na uni-tuebingen.de
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityPreverjeni e-poštni naslov na stat.purdue.edu
Mu LiAmazonPreverjeni e-poštni naslov na amazon.com
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryPreverjeni e-poštni naslov na biochem.mpg.de
Amr AhmedSenior Staff Research Scientist, Google AIPreverjeni e-poštni naslov na google.com
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligencePreverjeni e-poštni naslov na mbzuai.ac.ae
Gunnar RätschProfessor, ETH ZürichPreverjeni e-poštni naslov na inf.ethz.ch
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Quoc V. LeResearch Scientist, GooglePreverjeni e-poštni naslov na stanford.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, Preverjeni e-poštni naslov na nec-labs.com
John Shawe-TaylorUCLPreverjeni e-poštni naslov na cs.ucl.ac.uk
Sebastian MikaPreverjeni e-poštni naslov na sebastianmika.info
Jonas MuellerCleanlabPreverjeni e-poštni naslov na csail.mit.edu
Manzil ZaheerGoogle ResearchPreverjeni e-poštni naslov na cmu.edu
Alexandros KaratzoglouGoogle DeepmindPreverjeni e-poštni naslov na google.com
Choon Hui TeoAmazonPreverjeni e-poštni naslov na amazon.com
Malte J RaschSony AI (previously: IBM Research AI)Preverjeni e-poštni naslov na sony.com

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Alex Smola

Boson AI

Preverjeni e-poštni naslov na smola.org - Domača stran

Machine Learning Deep Learning Systems


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Learning with kernels: Support vector machines, regularization, optimization, and beyond B Schölkopf, AJ Smola the MIT Press, 2002	25103*	2002
A tutorial on support vector regression AJ Smola, B Schölkopf Statistics and computing 14, 199-222, 2004	16063	2004
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	11180	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	7657	2001
Support vector regression machines H Drucker, CJ Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 1996	7378	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	6348	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	6239	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	4450	1996
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3832	2000
Kernel principal component analysis B Schölkopf, A Smola, KR Müller International conference on artificial neural networks, 583-588, 1997	3586	1997
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	3287	1999
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	3122	2017
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola	3022	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	2808	2006
Communication efficient distributed machine learning with the parameter server M Li, DG Andersen, AJ Smola, K Yu Advances in Neural Information Processing Systems 27, 2014	2800	2014
Advances in kernel methods: support vector learning B Schölkopf, CJC Burges, AJ Smola MIT press, 1999	2685	1999
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	2395	2016
A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001	2394	2001
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	2266	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	2259	2004

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