Kenji FUKUMIZU

J-GLOBAL         Last updated: Mar 15, 2017 at 02:55
 

Research Areas

 
 

Education

 
 
 - 
1989
Faculty of Science, Kyoto University
 

Published Papers

 
Kernel-Based Information Criterion
Danafar, Somayeh Università dellla Svizzera Italiana, Gomez, Faustino Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Fukumizu, Kenji The Institute of Statistcal Mathematics
Computer and Information Science   8(1) 10-24   Feb 2015   [Refereed]
Output Kernel Learning Methods
Dinuzzo, Francesco IBM Research, Ong, Cheng Soon NICTA, Fukumizu, Kenji The Institute of Statistcal Mathematics
Regularization, Optimization, Kernels, and Support Vector Machines   359 370   Oct 2014   [Refereed]
Kernel Mean Estimation and Stein Effect
Muandet, Krikamol Max Planck Institute for Intelligent Systems, Sriperumbudur, Bharath University of College London, Gretton, Arthur University of College London, Bernhard, Schölkopf Max-PLance-Onstitute, Fukumizu, Kenji The Institute of Statistcal Mathematics
JMLR W&CP volume 32 (1) Proc. 31st International Conference on Machine Learning   32 10-18   Jun 2014   [Refereed]
Recovering Distributions from Gaussian RKHS Embeddings
金川 元信 統計数理研究所, 福水 健次 統計数理研究所
Proc. 17th International Conference on Artificial Intelligence and Statistics   33 457-465   Apr 2014   [Refereed]
Alam, Md. Ashad Hajee Mohammad Danesh Science & Technology University
Journal of Computer Science   10(Issue 7) 1139-1150   Apr 2014   [Refereed]
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels
Fukumizu, Kenji The Institute of Statistical Mathematics, Song, Le Georgia Institute of Technology, Gretton, Arthur Unmiversity of College London
Journal of Machine Learning Research   14 3753−3783   Dec 2013   [Refereed]
Centering Similarity Measures to Reduce Hubs
Suzuki, Ikumi National Institute of Genetics, Hara, Kazuo National Institute of Genetics, Shibo, Masashi Nara Institute of Science and Technology, Saerens, Marco Universite catholique de Louvain, Fukumizu, Kenji The Institute of Statistical Mathematics
Proceedings of the Conference on Empirical Methods in Natural Language Processing   613-623   Oct 2013   [Refereed]
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Sejdinovic, Dino University College Longon, Sriperumbudur, Bharath University of College London, Gretton, Arthur Unmiversity of College London, Fukumizu, Kenji The Institute of Statistical Mathematics
Annals of Statistics   41(Number 5) 2263-2702   Oct 2013   [Refereed]
Nakagome, Shigeki The Institute of Statistical Mathematics, Mano, Shuhei The Institute of Statistical Mathematics, Fukumizu, Kenji The Institute of Statistical Mathematics
Statistical Applications in Genetics and Molecular Biology   12(6) 667-678   Sep 2013   [Refereed]
Kernel Embeddings of Conditional Distributions
Le, Song Georgia Inst. of Technol., Fukumizu, Kenji The Institute of Statistical Mathematics, Gretton, Arthur Unmiversity of College London
Signal Processing Magazine, IEEE   30 98-111   Jul 2013   [Refereed]
Gradient-based kernel method for feature extraction and variable selection
Fukumizu, Kenji 統計数理研究所, Leng, Chenlei National University of Singapore
Advances in Neural Information Processing Systems 25   2123-2131   Dec 2012   [Refereed]
Learning from Distributions via Support Measure Machines
Muandet, Krikamol MPI for Intelligent Systems, Fukumizu, Kenji The Institute of Statistical Mathematics, Dinuzzo, Francesco MPI for Intelligent Systems, Schölkopf, Bernhard MPI for Intelligent Systems
Advances in Neural Information Processing Systems 25   10-18   Dec 2012   [Refereed]
Optimal kernel choice for large-scale two-sample tests
Gretton, Arthur University of College London, Sriperumbudur, Bharath University of College London, Sejdinovic , Dino University of College London, Strathmann, Heiko University of College London, Balakrishnan, Sivaraman Carnegie Mellon University USA, Pontil , Massimiliano University of College London, Fukumizu, Kenji The Institute of Statistical Mathematics
Advances in Neural Information Processing Systems 25   1214-1222   Dec 2012   [Refereed]
Hilbert Space Embeddings of POMDPs
Nishiyama, Yu The Institute of Statistical Mathematics, Boularias, Abdeslam Max Planck Institute for Intelligent Systems, Gretton, Arthur University of College London, Fukumizu, Kenji The Institute of Statistical Mathematics
Proc. Conference on Uncertainty in Artificial Intelligence (UAI2012)   644-653   Aug 2012   [Refereed]
On the empirical estimation of integral probability metrics
Sriperumbudur, Bharath University of College London, Fukumizu, Kenji The Institute of Statistical Mathematics, Gretton, Arthur University of College London, Bernhard, Schoelkopf Max Planck Institute for Intelligent Systems, Lanckriet,,,,,,,, Gert R.G. University of California, San Diego
Electronic Journal of Statistics   6 1550-1599   Aug 2012   [Refereed]
Hypothesis testing using pairwise distances and associated kernels.
Sejdinovic, Dino University of College London, Gretton, Arthur University of College London, Sriperumbudur, Bharath University of College London, Fukumizu, Kenji The Institute of Statistical Mathematics
Proc. 29th International Conference on Machine Learning (ICML2012).   1111-1118   Jun 2012   [Refereed]
Kernel and Feature Search in Kernel PCA
Alam, Ashad MD 総合研究大学院大学, 福水 健次 統計数理研究所
電子情報通信学会技術報告   IBISML2011-49 47-56   Nov 2011
Learning low-rank output kernels
Dinuzzo, Francesco Max Planck Institute for Inteligent Systems, Fukumizu, Kenji The Institute of Statistical Mathematics
JMLR: Workshop and Conference Proceedings, 20 (Proc. 3rd Asian Conference on Machine Learning)   181-196   Nov 2011   [Refereed]
Graph zeta function and loopy belief propagation
Watanabe, Yusuke The Institute of Statistial Mathematics, Fukumizu, Kenji The Institute of Statistial Mathematics
Proceedings of the 2011 International Symposium on Nonlinear Theory and its Applications   192-195   Sep 2011   [Refereed]
Universality, Characteristic Kernels and RKHS Embedding of Measures
Sriperumbudur V., Bharath K. University of California, San Diego, Fukumizu, Kenji Institute of Statistical Mathematics, Lanckriet, Gert University of California, San Diego
Journal of Machine Learning Research   12 2389-2410   Jul 2011   [Refereed]
Fukumizu, Kenji The Institute of Statistical Mathematics, 渡辺 有祐 The
Combinatorics, Probability and Computing   20(2) 299-320   Mar 2011   [Refereed]
正定値カーネルによるノンパラメトリック推論
福水 健次 統計数理研究所
統計数理   58 / 2 185-206   Dec 2010   [Refereed]
Graph Zeta function in the Bethe free energy and loopy belief propagation
Watanabe, Yusuke Institute of Statistical Mathematics, Fukumizu, Kenji Institute of Statistical Mathematics
Advances in Neural Information Processing Systems   22 2017-2025   May 2010   [Refereed]
A fast, consistent Kernel two-sample test
Gretton, Arthur Carnegie Mellon University, Fukumizu, Kenji The Institute of Statistical Mathematics, Harchaoui, Zaid Carnegie Mellon University, Sriperumbudur , Bharath University of California, San Diego
Advances in Neural Information Processing Systems   22 673-681   May 2010   [Refereed]
Kernel choice and classifiability for RKHS embeddings of probability distributions
Sriperumbudur V., Bharath K. University of California, San Diego, Fukumizu, Kenji Institute of Statistical Mathematics, Gretton, Arthur Carnegie Mellon University, MPI for Biological Cybernetics, Lanckriet, Gert R. G. University of California, San Diego, Schoelkopf, Bernhard MPI for Biological Cybernetics
Advances in Neural Information Processing Systems   22 1750-1758   May 2010   [Refereed]
Hilbert Space Embeddings and Metrics on Probability Measures
Fukumizu, Kenji The Institute of Statistical Mathematics, Sriperumbudur, Bharath K University College London, Gretton, Arthur University College London, Schoelkopf, Bernhard Max Plank Institute, Lanckriet, Gert R. G. University of California, San Diego
Journal of Machine Learning Research   11 1517-1561   Apr 2010   [Refereed]
Exponential mainfold by reproducing Kernel Hilbert spaces
Fukumizu, Kenji Institute of Statistical Mathematics
Algebraic and Geometric Methods in Statistics   291-306   Oct 2009   [Refereed]
Kernel dimension reduction in regression
Fukumizu, Kenji Institute of Statistical Mathematics, Bach, Francis R. Laboratoire d'Informatique de l'Ecole Normale Superieure, Jordan, Michael I.. University of California, Berkeley
The Annals of Statistics   37(4) 1871-1905   Aug 2009   [Refereed]
Characteristic Kernels on groups and semigroups
Fukumizu, Kenji Institute of Statistical Mathematics, Sriperumbudur V., Bharath K. University of California, San Diego, Gretton, Arthur MPI for Biological Cybernetics, Bernhard, Schölkopf MPI for Biological Cybernetics
Advances in Neural Information Processing Systems   21 473-480   May 2009   [Refereed]
Watanabe, Yusuke The Institute of Statistical Mathematics, Fukumizu, Kenji The Institute of Statistical Mathematics
Journal of Physics A: Mathematical and Theoretical   42(4) 045001   Jan 2009   [Refereed]
Sensitivity Analysis in Robust and Kernel Canonical Analysis
Alam, Md. Ashad Hajee Mohammad Danesh Science and Technology University, Masser, Mohammed Hajee Mohammad Danesh Science and Technology University, Fukumizu, Kenji The Institute of Statistical Mathematics
Proceedings of the 11th International Conference On Computer and Information Technology   399-404   Dec 2008   [Refereed]
Injective Hilbert Space Embeddings of Probability Measures
Sriperumbudur, Bharath University of California, San Diego, Gretton, Arthur Max Planck Institute for Biological Cybernetics, Fukumizu, Kenji The Institute of Statistical Mathematics, Schoeklopf, Bernhard Max Planck Institute for Biological Cybernetics, Lanckriet, Gert University of California, San Diego
Proceedings of the 21st Annual Conference on Learning Theory   111-122   Jul 2008   [Refereed]
Game theoretical combination of binary classifiers for multi-class classification
Shiraishi, Yuichi The Graduate University of Advanced Studies, Fukumizu, Kenji The Institute of Statistical Mathematics
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   J91-D(No.6) 1528-1537   Jun 2008   [Refereed]
A Kernel Statistical Test of Independence
Gretton, Arthur Max Planck Institute for Biological Cybernetics, Fukumizu, Kenji The Institute of Statistical Mathematics, Teo, Choon Hui Australian National University, Song, Le University of Sydney, Schoeklopf, Bernhard Max Planck Institute for Biological Cybernetics, Smola, Alexander J. NICTA
Advances in Neural Information Processing Systems   20 585-592   May 2008   [Refereed]
Kernel Measures of Conditional Dependence
Fukumizu, Kenji The Institute of Statistical Mathematics, Gretton, Arthur Max Planck Institute for Biological Cybernetics, Sun, Xiaohai Max Planck Institute for Biological Cybernetics, Schoeklopf, Bernhard Max Planck Institute for Biological Cybernetics
Advances in Neural Information Processing Systems   20 489-496   May 2008   [Refereed]
RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics
Schoeklopf, Bernhard Max Planck Institute for Biological Cybernetics, Sriperumbudur, Bharath University of California, San Diego, Gretton, Arthur Max Planck Institute for Biological Cybernetics, Fukumizu, Kenji The Institute of Statistical Mathematics
Oberwolfach Reports   5    2008
Kernels on Structured Objects Through Nested Histograms
Cuturi, Marco Institute of Statistical Mathematics, Fukumizu, Kenji Institute of Statistical Mathematics
Advances in Neural Information Processing Systems   19 329-336   May 2007   [Refereed]
Tanabe, Akihiro Nara Advanced Institute of Science and Technology, Fukumizu, Kenji Institute of Statistical Mathematics, Oba, Shigeyuki Nara Advanced Institute of Science and Technology, Takenoicho, Takashi Nara Advanced Institute of Science and Technology, Ishii, Shin Nara Advanced Institute of Science and Technology
Computational Statistics   22(1) 145-157   Mar 2007   [Refereed]
Kanagawa, Motonobu SOKENDAI, Nishiyama, Yu The University of Electro-Communications, Gretton, Arthur University of College London
Neural Computation   28 382-444   Feb 2016   [Refereed]
Computing functions of random variables via reproducing kernel Hilbert space representations
Scholkopf, Bernhard Max Planck Institute for Intelligent Systems, Muandet, Krikamol Max Planck Institute for Intelligent Systems, Fukumizu, Kenji The Institute of Statistical Mathematics, Harmeling, Stefan Max Planck Institute for Intelligent Systems, Peters, Jonas Max Planck Institute for Intelligent Systems
Statistics and Computing   25 755-766   Jul 2015   [Refereed]
Characteristic Kernels and Infinitely Divisible Distributions
Nishiyama, Yu 電気通信大学, Fukumizu, Kenji 統計数理研究所
Journal of Machine Learning Research   17(180) 1-28   Sep 2016   [Refereed]
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Kanagawa, Motonobu 統計数理研究所, Sriperumbudur, Bharath University of College London, Fukumizu, Kenji 統計数理研究所
Advances in Neural Information Processing Systems 30   29 3288-3296   Dec 2016   [Refereed]
Unsupervised group matching with application to cross-lingual topic matching without alignment information
Tomoharu, Iwata NTTコミュニケーション科学基礎研究所 , Kanagawa, Motonobu 統計数理研究所, Tsutomu, Hirao NTTコミュニケーション科学基礎研究所, Fukumizu, Kenji 統計数理研究所
Data Mining and Knowledge Discovery   31 350-370   Mar 2017   [Refereed]
Kernel Mean Shrinkage Estimators
Muandet, Krikamol Max Planck Institute for Intelligent Systems, Sriperumbudur, Bharath University of College London, Fukumizu, Kenji 統計数理研究所, Gretton, Arthur University of College London, Schölkopf, Bernhard Max Planck Institute for Intelligent Systems
Journal of Machine Learning Research   17    Apr 2016   [Refereed]
Support Consistency of Direct Sparse-Change Learning in Markov Networks
Liu, Song 統計数理研究所, Suzuki, Taiji 東京工業大学, Relator, Raissa 産総研, Jun, Sese 産総研, Sugiyama, Masashi 東京大学, Fukumizu, Kenji 統計数理研究所
Annals of Statsitics   45    Mar 2017   [Refereed]
Filtering with State-Observation Examples via Kernel Monte Carlo Filter
Kanagawa, Motonobu 統計数理研究所, Nishiyama, Yu 電気通信大学, Gretton, Arthur University of College London, Fukumizu, Kenji 統計数理研究所
Neural Computation   28 382-444   Jan 2016   [Refereed]
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Kanagawa, Motonobu 統計数理研究所, Sriperumbudur, Bharath University of College London, Fukumizu, Kenji 統計数理研究所
Advances in Neural Information Processing Systems   29 3288-3296   Dec 2016   [Refereed]
Liu, Song 統計数理研究所, Fukumizu, Kenji 統計数理研究所, Suzuki, Taiji 東京工業大学
Behaviormetrika      Feb 2017   [Refereed]
Persistence weighted Gaussian kernel for topological data analysis
Kusano, Genki 東北大学, Hiraoka, Yasuaki 東北大学, Fukumizu, Kenji 統計数理研究所
Proceedings of The 33rd International Conference on Machine Learning   2004-2013   Jun 2016   [Refereed]
Structure Learning of Partitioned Markov Networks
Liu, Song 統計数理研究所, Suzuki, Taiji 東京工業大学, Sugiyama, Masashi 東京大学, Fukumizu, Kenji 統計数理研究所
Proceedings of The 33rd International Conference on Machine Learning   33 439-8211;448   Jun 2016   [Refereed]

Books etc

 
Probabilistic design (共著)
NEURAL NETWORK SYSTEMS TECHNIQUES AND APPLICATIONS Series   1997   
Generalization error of linear neural networks in unidentifiable cases
Lecture Notes in Artificial Intelligence 1720, Algorithmic Learning Theory   1999   
Active learning in multilayer perceptrons
Advances in Neural Information Processing Systems   1996   
カーネル法入門 - 正定値カーネルによるデータ解析 -
福水 健次 統計数理研究所
Nov 2010   

Misc

 
カーネル平均埋め込みによる分布統計量の計算 〜 密度関数,信頼区間,モーメント推定への応用 〜
金川 元信 総合研究大学院大学
電子情報通信学会技術報告   113(286) 147-154   Nov 2013
IEEE Transactions on Neural Networks   11(1) 17-26   2000
Local Minima and Plateaus in Multilayer Neural Networks (共著)
Proceedings of 9th International Conference on Artificial Neural Networks(ICANN'99)   597-602   1999

Conference Activities & Talks

 
Statistical Machine Learning in the Era of Data
26 Feb 2015   
Score Matching Estimation with Infinite Dimensional Exponential Family
4 Dec 2014   
Monte Carlo Filter with Kernel Mean Embedding
STM2014   28 Jul 2014   
Measuring Dependence and Conditional Dependence with Kernels
International Conference on Machine Learning 2014   25 Jun 2014   
Nonparametric Bayesian Inference with Positive Definite Kernels
Workshop on Mathematical Approaches to Large-Dimensional Data Analysis   16 Mar 2014   
Higher-order Regularized Kernel CCA
The 12th International Conference on Machine Learning and Applications (ICMLA'13)   6 Dec 2013   
Centering Similarity Measures to Reduce Hubs
Conference on Empirical Methods in Natural Language Processing   19 Oct 2013   
Regularization in Kernel Method for Bayesian Inference
Applied Inverse Problem Conference   3 Jul 2013   
Kernel Bayes' Rule: Nonparametric Bayesian inference with kernels
Neural Information Processing Systems 2012 Wosrkshop   8 Dec 2012   
Statistical Methods with Positive Definite Kernels
The 2nd Institute Mathematical Statistics   4 Jul 2012   
Statistics for Large-Dimensional Data - Dimension reduction and kernel method -
Japan-France Frontiers of Science   20 Jan 2012   
Kernel Bayes' Rule
Neural Information Processing Systems 25   14 Dec 2011   
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Neural Information Processing Systems 25   13 Dec 2011   
Graph zeta function and loopy belief propagation
2011 International Symposium on Nonlinear Theory and its Applications   5 Sep 2011   
Statistical Inference with Reproducing Kernels
8th International ISAAC Congress   25 Aug 2011   
Kernel Method for Bayesian Inference
The 2nd Asian Conference on Machine Learning (ACML2010)   10 Nov 2010   
Computation of probabilities on graphs and its connection to the graph zeta function
Long-term workshop: Mathematical Sciences and Their Applications   20 Sep 2010   
Distance, Divergence, and Dependence Measure with Reproducing Kernel Hilbert Spaces
Information Geometry and its Applications   5 Aug 2010   
Kernel choice and classifiability for RKHS embeddings of probability distributions
23rd Annual Conferene on Neural Information Processing Systems (NIPS)   9 Dec 2009   
Graph zeta function in the Bethe free energy and loopy belief propagation
23rd Annual Conferene on Neural Information Processing Systems (NIPS)   8 Dec 2009   
A fast, consistent Kernel two sample test
23rd Annual Conferene on Neural Information Processing Systems (NIPS)   7 Dec 2009   
New graph polynomials satisfying deletion-contraction relations
The 7th Japan Conference on Computational Geometry and Graphs (JCCGG2009)   11 Nov 2009   
Nonparametric tests of conditional independence with reproducing Kernels
Machine learning approaches to statistical dependences and causality   27 Sep 2009   
Conditional independence and dimension reduction with positive definite Kernels
IMS Asia Pacific Rim Meeting 2009   28 Jun 2009   
Dependence analysis with positive definite Kernels
25 May 2009   
Characteristic Kernels on Groups and Semigroups
22nd Annual Conference on Neural Information Processing Systems   10 Dec 2008   
Independence and Conditional Independence with Reproducing Kernels
BIRS Workshop on Understanding the New Statistics: Expanding Core Statistical Theory   17 Sep 2008   
Dependence Analysis with Reproducing Kernel Hilbert Spaces
7th World Congress on Statistics and Probability   16 Jul 2008   
Painless embeddings of distributions: the function space view
International Conference on Machine Learning 2008   5 Jul 2008   
Reproducing Kernel Exponential Manifold: Estimation and Geometry
Mathematical Explorations in Contemporary Statistics.   19 May 2008   
Independence, conditional independence, and characteristic kernels
German-Israel Foundation Workshop   15 May 2008   
Kernel Measures of Conditional Dependence
Neural Information Processing Systems 20   5 Dec 2007   
A Kernel Statistical Test of Independence
Neural Information Processing Systems 20   4 Dec 2007   
Dimension Reduction with Positive Definite Kernels
1st Joint Meeting between ISSAS and ISM   30 Nov 2007   
Learning Causal Structure with Kernel-based Dependence Measures
4 Nov 2007   
A Kernel-based Causal Learning Algorithm
International Conference on Machine Learning 2007   23 Jun 2007   
Active Learning for Network Estimation
2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology   3 Apr 2007   
Kernel methods for topological data analysis
2nd UCL Workshop on the Theory of Big Data   6 Jan 2016   
Kernel Mean Particle Filter with Intractable Likelihoods
Fukumizu, Kenji The Institute of Statistical Mathematics, Kanagawa, Motonobu SOKENDAI, Uematsu, Yoshimasa The Institute of Statistical Mathematics
NIPS 2015   11 Dec 2015   
Kernel Mean Particle Filter with Intractable Likelihoods
Fukumizu, Kenji The Institute of Statistical Mathematics, Kanagawa, Motonobu SOKENDAI, Uematsu, Yoshimasa The Institute of Statistical Mathematics
STM2015 & CSM2015   17 Jul 2015   
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness
AAAI-16   15 Feb 2016   
Localized Centering: Reducing Hubness in Large-Sample Data
AAAI-15   29 Jan 2015   
Local Kernel Dimensional Reduction in Approximate Bayesian Computation
26 Nov 2015   
Learning Structure of Partial Markov Random Field via Partitioned Ratio
27 Nov 2015   
Convergence Rates of Quasi Monte Carlo Integration under Misspecified Assumptions
27 Nov 2015   
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Neural Information Processing Systems 2016   5 Dec 2016   
A Gaussian Process Model for Non-Comvex Probabilistic Clustering
Andrade, Daniel SOKENDAI, Fukumizu, Kenji The Institute of Statistical Mathematics
16 Nov 2016   
Convergence guarantees for kernel-based quadrature rules in misspecified settings
17 Nov 2016   
Structure Learning of Partitioned Markov Networks
MIRU2016   4 Aug 2016   
Kernel Methods for Topdogical Data Anaiysis
2016 International Workshop on Spatial and Temporal Modeling from Statistical, Machine Learning and Engineering perspectives   22 Jul 2016   

Research Grants & Projects

 
Mathematical Study on Artificial Neural Networks
Maximal Likelihood Estimation with Non-regular Models