| Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces K Fukumizu, FR Bach, MI Jordan Journal of Machine Learning Research 5 (Jan), 73-99, 2004 | 539 | 2004 |
| A kernel statistical test of independence A Gretton, K Fukumizu, CH Teo, L Song, B Schölkopf, AJ Smola Advances in neural information processing systems, 585-592, 2008 | 482 | 2008 |
| 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 | 447 | 2010 |
| Kernel measures of conditional dependence K Fukumizu, A Gretton, X Sun, B Schölkopf Advances in neural information processing systems, 489-496, 2008 | 394 | 2008 |
| 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 | 350 | 2013 |
| Kernel dimension reduction in regression K Fukumizu, FR Bach, MI Jordan The Annals of Statistics 37 (4), 1871-1905, 2009 | 284 | 2009 |
| 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 | 280 | 2012 |
| Statistical consistency of kernel canonical correlation analysis K Fukumizu, FR Bach, A Gretton Journal of Machine Learning Research 8 (Feb), 361-383, 2007 | 244 | 2007 |
| Kernel mean embedding of distributions: A review and beyond K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf arXiv preprint arXiv:1605.09522, 2016 | 236 | 2016 |
| Adaptive method of realizing natural gradient learning for multilayer perceptrons SI Amari, H Park, K Fukumizu Neural computation 12 (6), 1399-1409, 2000 | 209 | 2000 |
| Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011 | 207 | 2011 |
| Hilbert space embeddings of conditional distributions with applications to dynamical systems L Song, J Huang, A Smola, K Fukumizu Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 207 | 2009 |
| Local minima and plateaus in hierarchical structures of multilayer perceptrons K Fukumizu, S Amari Neural networks 13 (3), 317-327, 2000 | 174 | 2000 |
| Adaptive natural gradient learning algorithms for various stochastic models H Park, SI Amari, K Fukumizu Neural Networks 13 (7), 755-764, 2000 | 173 | 2000 |
| Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf Advances in neural information processing systems, 10-18, 2012 | 147 | 2012 |
| A fast, consistent kernel two-sample test A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur Advances in neural information processing systems, 673-681, 2009 | 146 | 2009 |
| Kernel embeddings of conditional distributions: A unified kernel framework for nonparametric inference in graphical models L Song, K Fukumizu, A Gretton IEEE Signal Processing Magazine 30 (4), 98-111, 2013 | 144 | 2013 |
| Kernel choice and classifiability for RKHS embeddings of probability distributions K Fukumizu, A Gretton, GR Lanckriet, B Schölkopf, BK Sriperumbudur Advances in neural information processing systems, 1750-1758, 2009 | 141 | 2009 |
| Injective Hilbert space embeddings of probability measures BK Sriperumbudur, A Gretton, K Fukumizu, G Lanckriet, B Schölkopf 21st Annual Conference on Learning Theory (COLT 2008), 111-122, 2008 | 132 | 2008 |
| On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet Electronic Journal of Statistics 6, 1550-1599, 2012 | 130 | 2012 |
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
