متابعة
Kenji Fukumizu
Kenji Fukumizu
The Institute of Statistical Mathematics
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
11542007
Kernel mean embedding of distributions: A review and beyond‏
K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf‏
Foundations and Trends® in Machine Learning 10 (1-2), 1-141, 2017‏
9302017
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
9142010
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
8492012
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
8302013
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
7772004
Kernel measures of conditional dependence‏
K Fukumizu, A Gretton, X Sun, B Schölkopf‏
Advances in neural information processing systems 20, 2007‏
7742007
Universality, Characteristic Kernels and RKHS Embedding of Measures.‏
BK Sriperumbudur, K Fukumizu, GRG Lanckriet‏
Journal of Machine Learning Research 12 (7), 2011‏
5922011
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
4242009
Kernel dimension reduction in regression‏
K Fukumizu, FR Bach, MI Jordan‏
4112009
On the empirical estimation of integral probability metrics‏
BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet‏
3832012
Statistical consistency of kernel canonical correlation analysis.‏
K Fukumizu, FR Bach, A Gretton‏
Journal of Machine Learning Research 8 (2), 2007‏
3532007
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
3002013
A fast, consistent kernel two-sample test‏
A Gretton, K Fukumizu, Z Harchaoui, BK Sriperumbudur‏
Advances in neural information processing systems 22, 2009‏
2942009
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, 2009‏
2842009
Local minima and plateaus in hierarchical structures of multilayer perceptrons‏
K Fukumizu, S Amari‏
Neural networks 13 (3), 317-327, 2000‏
2752000
Adaptive method of realizing natural gradient learning for multilayer perceptrons‏
S Amari, H Park, K Fukumizu‏
Neural computation 12 (6), 1399-1409, 2000‏
2692000
On integral probability metrics,\phi-divergences and binary classification‏
BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet‏
arXiv preprint arXiv:0901.2698, 2009‏
2462009
Persistence weighted Gaussian kernel for topological data analysis‏
G Kusano, Y Hiraoka, K Fukumizu‏
International conference on machine learning, 2004-2013, 2016‏
2402016
Learning from distributions via support measure machines‏
K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf‏
Advances in neural information processing systems 25, 2012‏
2382012
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مقالات 1–20