Följ
Arthur Gretton
Arthur Gretton
Gatsby Computational Neuroscience Unit and Google Deepmind
Verifierad e-postadress på gatsby.ucl.ac.uk - Startsida
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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
63222012
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
28012006
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
22622006
Measuring statistical dependence with Hilbert-Schmidt norms
A Gretton, O Bousquet, A Smola, B Schölkopf
International conference on algorithmic learning theory, 63-77, 2005
21252005
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
18362006
Demystifying mmd gans
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
arXiv preprint arXiv:1801.01401, 2018
17282018
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
11322007
A Hilbert space embedding for distributions
A Smola, A Gretton, L Song, B Schölkopf
International conference on algorithmic learning theory, 13-31, 2007
10622007
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in neural information processing systems 16, 2003
9992003
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
9132010
Covariate shift by kernel mean matching
A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf
8672008
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
8462012
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
8212013
Kernel measures of conditional dependence
K Fukumizu, A Gretton, X Sun, B Schölkopf
Advances in neural information processing systems 20, 2007
7612007
Feature Selection via Dependence Maximization.
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
Journal of Machine Learning Research 13 (5), 2012
5102012
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
4922005
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
4882008
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
4792007
On the empirical estimation of integral probability metrics
BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet
3792012
A kernel test of goodness of fit
K Chwialkowski, H Strathmann, A Gretton
International conference on machine learning, 2606-2615, 2016
3752016
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Artiklar 1–20