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 SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Malte J RaschIBM Research AIVerified email at ibm.com
Dino SejdinovicUniversity of OxfordVerified email at stats.ox.ac.uk
Nikos LogothetisVisiting Professor of Neuroscience, Stanford UniversityVerified email at stanford.edu
Olivier BousquetGoogleVerified email at m4x.org
Ralf HerbrichZalandoVerified email at zalando.de
Heiko StrathmannResearch Scientist at DeepmindVerified email at ucl.ac.uk
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Michael ArbelGatsby Computational Neuroscience Unit, UCLVerified email at ucl.ac.uk
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Danica J. SutherlandUniversity of British ColumbiaVerified email at cs.ubc.ca
Zoltan SzaboSenior Researcher, Center of Applied Mathematics (CMAP), École PolytechniqueVerified email at polytechnique.edu
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

kernel methods hypothesis testing 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	2638	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, 601-608, 2006	1514	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, 513-520, 2006	1454	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	1209	2005
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems 16, 169-176, 2004	879	2004
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	869	2006
A Hilbert space embedding for distributions A Smola, A Gretton, L Song, B Schölkopf International Conference on Algorithmic Learning Theory, 13-31, 2007	733	2007
A kernel statistical test of independence. A Gretton, K Fukumizu, CH Teo, L Song, B Schölkopf, AJ Smola Nips 20, 585-592, 2007	618	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	573	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	493	2009
Kernel measures of conditional dependence. K Fukumizu, A Gretton, X Sun, B Schölkopf NIPS 20, 489-496, 2007	469	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	442	2013
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	414	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, 1205-1213, 2012	388	2012
Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf MIT Press, 2005	346	2005
Demystifying mmd gans M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 2018	343	2018
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	342	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	323	2007
Statistical Consistency of Kernel Canonical Correlation Analysis. K Fukumizu, FR Bach, A Gretton Journal of Machine Learning Research 8 (2), 2007	271	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	230	2008

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