Kenji Fukumizu
Kenji Fukumizu
Verified email at ism.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
5702004
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
4932010
Kernel measures of conditional dependence
K Fukumizu, A Gretton, X Sun, B Schölkopf
Advances in neural information processing systems 20, 489-496, 2007
4192007
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
3772013
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
3172012
Kernel dimension reduction in regression
K Fukumizu, FR Bach, MI Jordan
The Annals of Statistics 37 (4), 1871-1905, 2009
2982009
Kernel mean embedding of distributions: A review and beyond
K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf
arXiv preprint arXiv:1605.09522, 2016
2732016
Statistical consistency of kernel canonical correlation analysis
K Fukumizu, FR Bach, A Gretton
Journal of Machine Learning Research 8 (Feb), 361-383, 2007
2562007
Universality, Characteristic Kernels and RKHS Embedding of Measures.
BK Sriperumbudur, K Fukumizu, GRG Lanckriet
Journal of Machine Learning Research 12 (7), 2011
2312011
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
2232009
Adaptive method of realizing natural gradient learning for multilayer perceptrons
SI Amari, H Park, K Fukumizu
Neural computation 12 (6), 1399-1409, 2000
2162000
Local minima and plateaus in hierarchical structures of multilayer perceptrons
K Fukumizu, S Amari
Neural networks 13 (3), 317-327, 2000
1812000
Adaptive natural gradient learning algorithms for various stochastic models
H Park, SI Amari, K Fukumizu
Neural Networks 13 (7), 755-764, 2000
1782000
Learning from distributions via support measure machines
K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf
Advances in neural information processing systems, 10-18, 2012
1602012
A fast, consistent kernel two-sample test
A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur
Advances in neural information processing systems, 673-681, 2009
1572009
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
1542013
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
1512012
Kernel choice and classifiability for RKHS embeddings of probability distributions
K Fukumizu, A Gretton, G Lanckriet, B Schölkopf, BK Sriperumbudur
Advances in neural information processing systems 22, 1750-1758, 2009
1502009
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
1412008
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Articles 1–20