Arthur Gretton

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Alex SmolaAmazon Web ServicesVerified email at smola.org
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
Bharath SriperumbudurPennsylvania State UniversityVerified email at psu.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Malte J RaschIBM Research AIVerified email at ibm.com
Dino SejdinovicProfessor, University of AdelaideVerified email at adelaide.edu.au
Nikos LogothetisVisiting Professor of Neuroscience, Stanford UniversityVerified email at stanford.edu
Michael ArbelInria - Univ. Grenoble AlpesVerified email at inria.fr
Olivier BousquetGoogleVerified email at m4x.org
Ralf HerbrichHasso Plattner InstituteVerified email at hpi.de
Heiko StrathmannResearch Scientist at DeepmindVerified email at deepmind.com
Danica J. SutherlandUniversity of British ColumbiaVerified email at cs.ubc.ca
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Zoltan SzaboProfessor, LSEVerified email at lse.ac.uk
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Wittawat JitkrittumGoogle ResearchVerified email at google.com
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it

Arthur Gretton

Gatsby Computational Neuroscience Unit, UCL

Verified email at gatsby.ucl.ac.uk - Homepage

generative models causality hypothesis testing kernel methods machine learning


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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	4103	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	1852	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	1832	2006
Measuring statistical dependence with Hilbert-Schmidt norms A Gretton, O Bousquet, A Smola, B Schölkopf Algorithmic Learning Theory: 16th International Conference, ALT 2005 …, 2005	1554	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	1255	2006
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems 16, 2003	932	2003
A Hilbert space embedding for distributions A Smola, A Gretton, L Song, B Schölkopf Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai …, 2007	880	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	790	2007
Demystifying mmd gans M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 2018	720	2018
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	697	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	637	2009
Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems 20, 2007	588	2007
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	584	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	561	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	447	2008
Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf MIT Press, 2005	408	2005
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	394	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	393	2007
Statistical consistency of kernel canonical correlation analysis. K Fukumizu, FR Bach, A Gretton Journal of Machine Learning Research 8 (2), 2007	300	2007
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet	270	2012

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