Arthur Gretton

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de
Alex SmolaAmazon Web ServicesAdresse e-mail validée de smola.org
Kenji FukumizuThe Institute of Statistical MathematicsAdresse e-mail validée de ism.ac.jp
Karsten BorgwardtProfessor, ETH ZurichAdresse e-mail validée de bsse.ethz.ch
Le SongGeorgia Institute of TechnologyAdresse e-mail validée de cc.gatech.edu
Bharath SriperumbudurPennsylvania State UniversityAdresse e-mail validée de psu.edu
Malte J RaschIBM Research AIAdresse e-mail validée de ibm.com
Dino SejdinovicAssociate Professor, University of OxfordAdresse e-mail validée de stats.ox.ac.uk
Nikos LogothetisVisiting Professor of Neuroscience, Stanford UniversityAdresse e-mail validée de stanford.edu
Olivier BousquetGoogleAdresse e-mail validée de m4x.org
Ralf HerbrichHasso Plattner InstituteAdresse e-mail validée de hpi.de
Michael ArbelInria - Univ. Grenoble AlpesAdresse e-mail validée de inria.fr
Heiko StrathmannResearch Scientist at DeepmindAdresse e-mail validée de deepmind.com
Gert LanckrietProfessor, UCSDAdresse e-mail validée de eng.ucsd.edu
Danica J. SutherlandUniversity of British ColumbiaAdresse e-mail validée de cs.ubc.ca
Matthew BlaschkoKU LeuvenAdresse e-mail validée de esat.kuleuven.be
Zoltan SzaboProfessor, LSEAdresse e-mail validée de lse.ac.uk
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichAdresse e-mail validée de dbs.ifi.lmu.de
Wittawat JitkrittumGoogle ResearchAdresse e-mail validée de google.com
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonAdresse e-mail validée de iit.it

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Arthur Gretton

Gatsby Computational Neuroscience Unit, UCL

Adresse e-mail validée de gatsby.ucl.ac.uk - Page d'accueil

generative models causality hypothesis testing kernel methods machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3375	2012
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	1674	2006
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	1668	2006
Measuring statistical dependence with Hilbert-Schmidt norms A Gretton, O Bousquet, A Smola, B Schölkopf International conference on algorithmic learning theory, 63-77, 2005	1380	2005
Integrating structured biological data by kernel maximum mean discrepancy KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola Bioinformatics 22 (14), e49-e57, 2006	1070	2006
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems 16, 2003	915	2003
A Hilbert space embedding for distributions A Smola, A Gretton, L Song, B Schölkopf International Conference on Algorithmic Learning Theory, 13-31, 2007	803	2007
A kernel statistical test of independence A Gretton, K Fukumizu, C Teo, L Song, B Schölkopf, A Smola Advances in neural information processing systems 20, 2007	691	2007
Hilbert space embeddings and metrics on probability measures BK Sriperumbudur, A Gretton, K Fukumizu, B Schölkopf, GRG Lanckriet The Journal of Machine Learning Research 11, 1517-1561, 2010	616	2010
Covariate shift by kernel mean matching A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf Dataset shift in machine learning 3 (4), 5, 2009	579	2009
Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems 20, 2007	531	2007
Demystifying mmd gans M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 2018	512	2018
Equivalence of distance-based and RKHS-based statistics in hypothesis testing D Sejdinovic, B Sriperumbudur, A Gretton, K Fukumizu The Annals of Statistics, 2263-2291, 2013	494	2013
Optimal kernel choice for large-scale two-sample tests A Gretton, D Sejdinovic, H Strathmann, S Balakrishnan, M Pontil, ... Advances in neural information processing systems 25, 2012	475	2012
Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information A Belitski, A Gretton, C Magri, Y Murayama, MA Montemurro, ... Journal of Neuroscience 28 (22), 5696-5709, 2008	428	2008
Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf MIT Press, 2005	374	2005
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	363	2012
Supervised feature selection via dependence estimation L Song, A Smola, A Gretton, KM Borgwardt, J Bedo Proceedings of the 24th international conference on Machine learning, 823-830, 2007	354	2007
Statistical Consistency of Kernel Canonical Correlation Analysis. K Fukumizu, FR Bach, A Gretton Journal of Machine Learning Research 8 (2), 2007	286	2007
Inferring spike trains from local field potentials MJ Rasch, A Gretton, Y Murayama, W Maass, NK Logothetis Journal of neurophysiology 99 (3), 1461-1476, 2008	236	2008

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