Arthur Gretton

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail confirmado em tuebingen.mpg.de
Alex SmolaBoson AIEmail confirmado em smola.org
Kenji FukumizuThe Institute of Statistical MathematicsEmail confirmado em ism.ac.jp
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryEmail confirmado em biochem.mpg.de
Bharath SriperumbudurPennsylvania State UniversityEmail confirmado em psu.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceEmail confirmado em biomap.com
Malte J RaschSony AI (previously: IBM Research AI)Email confirmado em sony.com
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideEmail confirmado em adelaide.edu.au
Michael ArbelInria - Univ. Grenoble AlpesEmail confirmado em inria.fr
Danica J. SutherlandUniversity of British Columbia + AmiiEmail confirmado em cs.ubc.ca
Nikos LogothetisDirector of International Center for Primate Brain Research, Shanghai, ChinaEmail confirmado em stanford.edu
Olivier BousquetGoogleEmail confirmado em m4x.org
Heiko StrathmannResearch Scientist at DeepmindEmail confirmado em deepmind.com
Ralf HerbrichHasso Plattner InstituteEmail confirmado em hpi.de
Gert LanckrietProfessor, UCSDEmail confirmado em eng.ucsd.edu
Matthew BlaschkoKU LeuvenEmail confirmado em esat.kuleuven.be
Zoltan SzaboProfessor, LSEEmail confirmado em lse.ac.uk
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichEmail confirmado em dbs.ifi.lmu.de
Wittawat JitkrittumGoogle ResearchEmail confirmado em google.com
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonEmail confirmado em iit.it

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Arthur Gretton

Gatsby Computational Neuroscience Unit and Google Deepmind

Email confirmado em gatsby.ucl.ac.uk - Página inicial

generative models causality hypothesis testing kernel methods machine learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	6095	2012
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	2742	2006
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	2228	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	2064	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	1797	2006
Demystifying mmd gans M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 2018	1621	2018
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	1106	2007
A Hilbert space embedding for distributions A Smola, A Gretton, L Song, B Schölkopf International conference on algorithmic learning theory, 13-31, 2007	1045	2007
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems 16, 2003	994	2003
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	891	2010
Covariate shift by kernel mean matching A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf	856	2008
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	824	2012
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	796	2013
Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems 20, 2007	755	2007
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	503	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	484	2008
Kernel methods for measuring independence. A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf, A Hyvärinen Journal of Machine Learning Research 6 (12), 2005	480	2005
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	475	2007
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet	369	2012
A kernel test of goodness of fit K Chwialkowski, H Strathmann, A Gretton International conference on machine learning, 2606-2615, 2016	364	2016

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