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
Arnaud DoucetProfessor of Statistics, University of Oxford & Senior Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk

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	4122	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	1858	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	1840	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	1560	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	1261	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	882	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	797	2007
Demystifying mmd gans M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 2018	723	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	700	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	640	2009
Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems 20, 2007	591	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	586	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	563	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	448	2008
Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf MIT Press, 2005	409	2005
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	395	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	302	2007
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet	273	2012

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