arthur gretton
arthur gretton
Gatsby Computational Neuroscience Unit, UCL
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
21182012
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
13392006
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
12392006
Measuring statistical dependence with Hilbert-Schmidt norms
A Gretton, O Bousquet, A Smola, B Schölkopf
International conference on algorithmic learning theory, 63-77, 2005
10742005
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in neural information processing systems 16, 169-176, 2003
8212003
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
7302006
A Hilbert space embedding for distributions
A Smola, A Gretton, L Song, B Schölkopf
International Conference on Algorithmic Learning Theory, 13-31, 2007
6492007
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, 585-592, 2007
5302007
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
4952010
Kernel measures of conditional dependence
K Fukumizu, A Gretton, X Sun, B Schölkopf
Advances in neural information processing systems 20, 489-496, 2007
4192007
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
4032009
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
3872008
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
3802013
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
3182012
Kernel methods for measuring independence
A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf
Journal of Machine Learning Research 6 (Dec), 2075-2129, 2005
3172005
Feature selection via dependence maximization
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
The Journal of Machine Learning Research 13 (1), 1393-1434, 2012
3142012
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
2972007
Statistical consistency of kernel canonical correlation analysis
K Fukumizu, FR Bach, A Gretton
Journal of Machine Learning Research 8 (Feb), 361-383, 2007
2572007
Demystifying mmd gans
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
arXiv preprint arXiv:1801.01401, 2018
2242018
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
2172008
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Artiklar 1–20