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fukumizu kenji  福水 健次

ORCIDConnect your ORCID iD *help
… Alternative Names

FUKUMIZU Kenji  福水 健次

福水 健次  フクミズ ケンジ

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Researcher Number 60311362
Other IDs
External Links
Affiliation (Current) 2025: 統計数理研究所, 先端データサイエンス研究系, 教授
Affiliation (based on the past Project Information) *help 2023 – 2024: 統計数理研究所, 先端データサイエンス研究系, 教授
2022 – 2023: 統計数理研究所, 数理・推論研究系, 教授
2011 – 2020: 統計数理研究所, 数理・推論研究系, 教授
2012 – 2016: 統計数理研究所, 大学共同利用機関等の部局等, 教授
2015: 統計数理研究所, 数理推論研究系, 教授 … More
2013: 統計数理研究所, 理論・推論研究系, 教授
2012: 統計数理研究所, 数理推論研究系, 教授
2009 – 2011: The Institute of Statistical Mathematics, モデリング研究系, 教授
2007 – 2008: The Institute of Statistical Mathematics, モデリング研究系, 准教授
2005: 統計数理研究所, モデリング研究系, 助教授
2003 – 2004: 統計数理研究所, 統計基礎研究系, 助教授
2002: 統数研, 助教授
2001: 統計数理研究所, 統計基礎研究系, 助教授 Less
Review Section/Research Field
Principal Investigator
Statistical science / Statistical science / Transformative Research Areas, Section (II) / Medium-sized Section 60:Information science, computer engineering, and related fields / Complex systems / Statistical science
Except Principal Investigator
Complex systems / Mathematical physics/Fundamental condensed matter physics / Transformative Research Areas, Section (II) / Statistical science
Keywords
Principal Investigator
アルゴリズム / 機械学習 / 人工知能 / 情報幾何 / グラフ / カーネル法 / セミパラメトリック / 時系列解析 / 統計科学 / ダイナミクス … More / 理論解析 / ニューラルネットワーク / 深層学習 / 代数的位相帰化 / 統計的位相幾何 / 多様体学習 / 代数的位相幾何 / 多変量解析 / 高次元データ / 統計的学習理論 / 高次元 / データ解析 / 統計数学 / 最適化 / ベイズ推論 / スパースモデリング / 位相幾何 / 確率計算 / 確率推論 / 関数データ / 正定値カーネル / ネットワーク学習 / 再生核ヒルベルト空間 / 位相幾何学 / 情報幾何学 / 確率伝搬法 / 統計的推論 / 変数選択 / 特徴抽出 / 次元削減 / ヒルベルト空間 / 統計的データ解析 / 統計的漸近理論 / 混合モデル / ニューラルネット / 尤度比 / 統計的推定 / 比正則モデル / 識別不能性 … More
Except Principal Investigator
スパースモデリング / 天然変性タンパク質 / 時系列解析 / 集団運動 / 機能発現 / 統計的因果推論 / 生体分子 / 支援課 / 拠点形成課 / 戦略課 / データ記述科学 / 惑星科学 / 地球科学 / 地球化学調査 / MRI画像 / 巨大ブラックホールの撮像 / 磁気共鳴医学 / 火星リモートセンシング / 津波堆積物 / データ駆動科学 / functional data analysis / Proteome / self-organizing PCA / independent component analysis / AdaBoost / gene expression data / SNP haplotyping / bioinformatics / 独立成分解析 / モデル特異性 / 統計推測 / ニューラルネット / ロバスト / ブースティング / SNPデータ / 統計推理 / 機械学習 / DNAマイクロアレイ / 統計学 / 関数データ解析 / プロテオーム / 自己組織化主成分分析 / 独立成分分析 / アダブースト / 遺伝子発現データ / SNPハプロタイピング / バイオインフォマチックス / 頑健性 / 動的相関 / ウエーブレット変換 / ウエーブレット解析 / 統計科学 / 非平衡統計力学 / 大自由度力学系 / 情報縮約 / 正準相関解析 / 主成分解析 / 相空間構造 / 反応動力学 / 次元縮約 / ウェーブレット変換 / データ駆動科学の数理基盤 / 情報数理の基盤形成 / 領域横断的分野交流 / 国際会議開催 / 若手人材育成 / 三つのレベル / 数理基盤形成 / モデリング原理の確立 / データ駆動科学の実践 / 高次元データ駆動科学 / 非線形動力学 / 大自由度カオス / 動力学 / 分岐現象 / 不変多様体 / カーネル法 / 階層性 / 分子機能 / 不変集合 / ウエーブレット Less
  • Research Projects

    (15 results)
  • Research Products

    (228 results)
  • Co-Researchers

    (54 People)
  •  データ記述科学の戦略決定、拠点形成、および支援活動

    • Principal Investigator
      平岡 裕章
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (II)
    • Research Institution
      Kyoto University
  •  Fronteers of Data Science by Probabilistic Description and Inference of DynamicsPrincipal Investigator

    • Principal Investigator
      福水 健次
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (II)
    • Research Institution
      The Institute of Statistical Mathematics
  •  Advance of artificial intelligence by theoretical investigation of deep learningPrincipal Investigator

    • Principal Investigator
      Fukumizu Kenji
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The Institute of Statistical Mathematics
  •  Support for the international activities of sparse modeling

    • Principal Investigator
      Okada Masato
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      The University of Tokyo
  •  Thery and methods for high dimensional data analysis with internal structurePrincipal Investigator

    • Principal Investigator
      Fukumizu Kenji
    • Project Period (FY)
      2014 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  New developments of statistical data analysis with algebraic topologyPrincipal Investigator

    • Principal Investigator
      Fukumizu Kenji
    • Project Period (FY)
      2014 – 2016
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Support and publicity for initialtive for High-dimensional Data-Driven Science through deepening of sparse modeling

    • Principal Investigator
      Okada Masato
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      The University of Tokyo
  •  Deepening and applications of sparse modeling by approaches of semiparametric Bayesian inferencePrincipal Investigator

    • Principal Investigator
      Fukumizu Kenji
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      The Institute of Statistical Mathematics
  •  Application of new methods of statistical analysis to functional movements of biomolecules

    • Principal Investigator
      Toda Mikito
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Mathematical physics/Fundamental condensed matter physics
    • Research Institution
      Nara Women's University
  •  Mathematical foundation of efficient algorithms for statistical inferencePrincipal Investigator

    • Principal Investigator
      FUKUMIZU Kenji
    • Project Period (FY)
      2010 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Research on the mechanism of robust manifestation of biological functions under fluctuating environment

    • Principal Investigator
      TODA Mikito
    • Project Period (FY)
      2010 – 2012
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Mathematical physics/Fundamental condensed matter physics
    • Research Institution
      Nara Women's University
  •  Geometric Study on Statistical Learning and Computation based on GraphsPrincipal Investigator

    • Principal Investigator
      FUKUMIZU Kenji
    • Project Period (FY)
      2007 – 2009
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  カーネルヒルベルト空間を用いたセミパラメトリック法とその高次元データ解析への応用Principal Investigator

    • Principal Investigator
      福水 健次
    • Project Period (FY)
      2003 – 2005
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  識別不能性を持つ非正則統計モデルの推定理論に関する研究Principal Investigator

    • Principal Investigator
      福水 健次
    • Project Period (FY)
      2001 – 2002
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Fusion of Statistics, Neural-Net, Machine Learning

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      2001 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 Other

All Journal Article Presentation Book

  • [Book] Kernel Mean Embedding of Distributions: A Review and Beyond2017

    • Author(s)
      Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Bernhard Scholkopf
    • Total Pages
      154
    • Publisher
      Now Publishers Inc
    • ISBN
      1680832883
    • Data Source
      KAKENHI-INTERNATIONAL-15K21718
  • [Book] カーネル法入門--正定値カーネルによるデータ解析--2010

    • Author(s)
      福水健次
    • Total Pages
      236
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Book] カーネル法入門2010

    • Author(s)
      福水健次
    • Total Pages
      236
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Book] カーネル法入門-正定値カーネルによるデータ解析-2010

    • Author(s)
      福水健次
    • Total Pages
      248
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Book] カーネル法入門 -正定値カーネルによるデータ解析-2010

    • Author(s)
      福水健次
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Book] 特異モデルの統計学2004

    • Author(s)
      福水 健次
    • Total Pages
      274
    • Publisher
      岩波書店
    • Data Source
      KAKENHI-PROJECT-15700241
  • [Journal Article] Out-of-Distribution Optimality of Invariant Risk Minimization2024

    • Author(s)
      Shoji Toyota, Kenji Fukumizu
    • Journal Title

      Transactions on Machine Learning Research

      Volume: 2835-8856 Pages: 1-12

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] A kernel Stein test for comparing latent variable models2023

    • Author(s)
      Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton
    • Journal Title

      Journal of the Royal Statistical Society Series B

      Volume: 85 Issue: 3 Pages: 986-1011

    • DOI

      10.1093/jrsssb/qkad050

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023

    • Author(s)
      Le Tam, Nguyen Truyen, Kenji Fukumizu
    • Journal Title

      Proceedings of The 26th International Conference on Artificial Intelligence and Statistics

      Volume: 206 Pages: 8521-8560

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] Estimation with infinite-dimensional exponential family and Fisher divergence2023

    • Author(s)
      Fukumizu Kenji
    • Journal Title

      Information Geometry

      Volume: 7 Issue: S1 Pages: 609-622

    • DOI

      10.1007/s41884-023-00122-z

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network2023

    • Author(s)
      Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-Ichi Maeda
    • Journal Title

      Proceedings of the 40th International Conference on Machine Learning

      Volume: 202 Pages: 17041-17060

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network2023

    • Author(s)
      Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
    • Journal Title

      Proceedings of the Fortieth International Conference on Machine Learning

      Volume: 1 Pages: 1-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023

    • Author(s)
      Le, T., Nguyen, T, Fukumizu, K.
    • Journal Title

      Proceedings of Machine Learning Research (Proceedings of The 26th International Conference on Artificial Intelligence and Statistics)

      Volume: 206 Pages: 8521-8560

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Journal Article] A General Class of Transfer Learning Regression without Implementation Cost2021

    • Author(s)
      Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida
    • Journal Title

      Proceedings of 35th AAAI Conference on Artificial Intelligence

      Volume: 1 Pages: 1-6

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Journal Article] Meta Learning for Causal Direction2021

    • Author(s)
      Jean-Francois Ton, Dino Sejdinovic, Kenji Fukumizu
    • Journal Title

      Proceedings of 35th AAAI Conference on Artificial Intelligence

      Volume: 1 Pages: 1-6

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Journal Article] Smoothness and Stability in GANs2020

    • Author(s)
      Chu, C. Minami, K. and Fukumizu, K.
    • Journal Title

      International Conferences on Learning Representations 2020

      Volume: 1 Pages: 1-8

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Journal Article] Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning2020

    • Author(s)
      Saito, Y., Nakamura, T., Hachiya, H. and Fukumizu, K.
    • Journal Title

      Computer Vision -- ECCV 2020

      Volume: 1 Pages: 626-646

    • DOI

      10.1007/978-3-030-58520-4_37

    • ISBN
      9783030585198, 9783030585204
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Journal Article] Semi-flat minima and saddle points by embedding neural networks to overparameterization2019

    • Author(s)
      K. Fukumizu, S. Yamaguchi, Y. Mototake, and M. Tanaka
    • Journal Title

      Advances in Neural Processing Systems

      Volume: 32 Pages: 13868-13876

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Journal Article] Post Selection Inference with Kernels2018

    • Author(s)
      Makoto Yamada, Yuta Umezu, Kenji Fukumizu, and Ichiro Takeuchi
    • Journal Title

      Proceedings of Machine Learning Research: AISTATS 2018

      Volume: 84 Pages: 152-160

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Variational Learning on Aggregate Outputs with Gaussian Processes2018

    • Author(s)
      Ho Chung Law, Dino Sejdinovic, Ewan Cameron, Tim Lucas, Seth Flaxman, Katherine Battle, Kenji Fukumizu
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 31

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Deep Neural Networks Learn Non-Smooth Functions Effectively2018

    • Author(s)
      今泉允聡、福水 健次
    • Journal Title

      2018年度統計関連学会連合大会講演予稿集

      Volume: ?

    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Journal Article] Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator2018

    • Author(s)
      Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
    • Journal Title

      Proceedings of the 7th Seventh International Conference on Learning Representations

      Volume: 7 Pages: 1-16

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Kernel Mean Embedding of Distributions: A Review and Beyond2017

    • Author(s)
      Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Bernhard Schoelkopf
    • Journal Title

      Foundations and Trends in Machine Learning

      Volume: 10 Issue: 1-2 Pages: 1-141

    • DOI

      10.1561/2200000060

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009, KAKENHI-PLANNED-25120012
  • [Journal Article] Trimmed Density Ratio Estimation2017

    • Author(s)
      Liu, S., Takeda, A., Suzuki, T. and Fukumizu, K.
    • Journal Title

      Advances in Neural Information Processing Systems (NIPS 2017)

      Volume: 30

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Density Estimation in Infinite Dimensional Exponential Families2017

    • Author(s)
      Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Aapo Hyvarinen, Revant Kumar
    • Journal Title

      The Journal of Machine Learning Research

      Volume: 18(1) Pages: 1830-1888

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-INTERNATIONAL-15K21718
  • [Journal Article] Learning sparse structural changes in high-dimensional Markov networks2017

    • Author(s)
      Song Liu, Kenji Fukumizu, and Taiji Suzuki
    • Journal Title

      Behaviormetrika

      Volume: 44(1) Issue: 1 Pages: 265-286

    • DOI

      10.1007/s41237-017-0014-z

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012, KAKENHI-PROJECT-15H06823, KAKENHI-PROJECT-25730013
  • [Journal Article] Unsupervised group matching with application to cross-lingual topic matching without alignment information2017

    • Author(s)
      Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao, Kenji Fukumizu
    • Journal Title

      Data Mining and Knowledge Discovery

      Volume: 31 Issue: 2 Pages: 350-370

    • DOI

      10.1007/s10618-016-0470-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] A Linear-Time Kernel Goodness-of-Fit Test2017

    • Author(s)
      Jitkrittum, W., Xu, W., Szabo, Z., Fukumizu, K. and Gretton, A.
    • Journal Title

      Advances in Neural Information Processing Systems (NIPS 2017)

      Volume: 30

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Post Selection Inference with Kernels2017

    • Author(s)
      M. Yamada, Y. Umezu, K. Fukumizu, I. Takeuchi
    • Journal Title

      Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, in PMLR

      Volume: 84 Pages: 152-160

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Density Estimation in Infinite Dimensional Exponential Families2017

    • Author(s)
      Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Aapo Hyvarinen, Revant Kumar
    • Journal Title

      Journal of Machine Learning Research

      Volume: 18(57) Pages: 1-59

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Multilocus phylogenetic analysis with gene tree clustering2017

    • Author(s)
      Ruriko Yoshida, Kenji Fukumizu, Chrysafis Vogiatzis
    • Journal Title

      Annals of Operations Research

      Volume: 印刷中 Issue: 1-2 Pages: 293-313

    • DOI

      10.1007/s10479-017-2456-9

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009, KAKENHI-PROJECT-26540016
  • [Journal Article] Persistence weighted Gaussian kernel for topological data analysis2016

    • Author(s)
      Genki Kusano and Yasuaki Hiraoka and Kenji Fukumizu
    • Journal Title

      Proceedings of The 33rd International Conference on Machine Learning

      Volume: - Pages: 2004-2013

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Journal Article] Support Consistency of Direct Sparse-Change Learning in Markov Networks2016

    • Author(s)
      Song Liu, Suzuki Taiji, Raissa Relator, Jun Sese, Masashi Sugiyama, and Kenji Fukumizu
    • Journal Title

      Annals of Statistics

      Volume: 2016 Pages: 34-34

    • NAID

      110009971454

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Kernel Mean Shrinkage Estimators2016

    • Author(s)
      Krikamol Muandet, Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf
    • Journal Title

      Journal of Machine Learning Research

      Volume: 17(48) Pages: 1-41

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Filtering with State-Observation Examples via Kernel Monte Carlo Filter2016

    • Author(s)
      Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, and Kenji Fukumizu
    • Journal Title

      Neural Computation

      Volume: 28 Issue: 2 Pages: 382-444

    • DOI

      10.1162/neco_a_00806

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26870821, KAKENHI-PLANNED-25120012, KAKENHI-PROJECT-15J04406
  • [Journal Article] Structure Learning of Partitioned Markov Networks2016

    • Author(s)
      Song Liu, Taiji Suzuki , Masashi Sugiyama, Kenji Fukumizu
    • Journal Title

      Proceedings of The 33rd International Conference on Machine Learning

      Volume: - Pages: 439-448

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Unsupervised Group Matching with Application to Cross-lingual Topic Matching without Alignment Information2016

    • Author(s)
      Iwata, T., Kanagawa, M., Hirao, T. and Fukumizu, K.
    • Journal Title

      Data Mining and Knowledge Discovery

      Volume: 2016 Pages: 1-19

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Convergence guarantees for kernel-based quadrature rules in misspecified settings2016

    • Author(s)
      Motonobu Kanagawa, Barath K. Sriperumbudur, Kenji Fukumizu
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 30 Pages: 3288-3296

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness2016

    • Author(s)
      Hara, K., Suzuki, I., Kobayashi, K., Fukumizu, K. and Radovanovic, M.
    • Journal Title

      Proc. 30th AAAI Conference on Artificial Intelligence

      Volume: 1 Pages: 1659-1665

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Structure Learning of Partitioned Markov Networks2016

    • Author(s)
      Song Liu, Taiji Suzuki, Masashi Sugiyama, and Kenji Fukumizu
    • Journal Title

      Proc. 33rd International Conference on Machine Learning

      Volume: 1 Pages: 1-9

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Characteristic Kernels and Infinitely Divisible Distributions2016

    • Author(s)
      Yu Nishiyama, Kenji Fukumizu
    • Journal Title

      Journal of Machine Learning Research

      Volume: 17(180) Pages: 1-28

    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] A Characterization of Minimum Spanning Tree-like Metric Spaces2016

    • Author(s)
      Hayamizu, M., Endo, H. and Fukumizu, K.
    • Journal Title

      IEEE/ACM Transactions on Computational Biology and Bioinformatics

      Volume: 99 Issue: 2 Pages: 1-1

    • DOI

      10.1109/tcbb.2016.2550431

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26540016, KAKENHI-PROJECT-26280009
  • [Journal Article] Persistence weighted Gaussian kernel for topological data analysis2016

    • Author(s)
      Genki Kusano, Yasuaki Hiraoka, and Kenji Fukumizu
    • Journal Title

      Proc. 33rd International Conference on Machine Learning

      Volume: 1 Pages: 1-9

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Journal Article] Computing functions of random variables via reproducing kernel Hilbert space representations2015

    • Author(s)
      Bernhard Scholkopf, Krikamol Muandet, Kenji Fukumizu, Stefan Harmeling, Jonas Peters
    • Journal Title

      Statistics and Computing

      Volume: 25(4) Issue: 4 Pages: 755-766

    • DOI

      10.1007/s11222-015-9558-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Kernel-Based Information Criterion2015

    • Author(s)
      Somayeh Danafar, Kenji Fukumizu, Faustino Gomez
    • Journal Title

      Computer and Information Science

      Volume: 8 Issue: 1 Pages: 10-24

    • DOI

      10.5539/cis.v8n1p10

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Higher-Order Regularized Kernel Canonical Correlation Analysis2015

    • Author(s)
      Md. Ashad Alam and Kenji Fukumizu
    • Journal Title

      Int. J. Patt. Recogn. Artif. Intell.

      Volume: 29 Issue: 04 Pages: 1551005-1551005

    • DOI

      10.1142/s0218001415510052

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Localized Centering: Reducing Hubness in Large-Sample Data2015

    • Author(s)
      K. Hara, I. Suzuki, M. Shimbo, K. Kobayashi, K. Fukumizu, and M. Radomanovic
    • Journal Title

      Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence

      Volume: 1 Pages: 2645-2651

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Journal Article] Monte Carlo Filtering using Kernel Embedding of Distribution2014

    • Author(s)
      M. Kanagawa, Y. Nishiyama, A. Gretton, and K. Fukumizu
    • Journal Title

      Proceedings of the 29th AAAI Conference on Artificial Intelligence

      Volume: 1 Pages: 1897-1903

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Recovering Distributions from Gaussian RKHS Embeddings2014

    • Author(s)
      Motonobu Kanagawa and Kenji Fukumizu
    • Journal Title

      Journal of Machine Learning Research, Workshop & Conference Proceedings (AISTATS 2014)

      Volume: 33 Pages: 457-465

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Recovering Distributions from Gaussian RKHS Embeddings2014

    • Author(s)
      Kanagawa, M. and Fukumizu, K.
    • Journal Title

      Journal of Machine Learning Research, W&CP (Proc. AISTATS 2014)

      Volume: 33 Pages: 457-465

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Kernel Mean Estimation and Stein Effect2014

    • Author(s)
      Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Schoelkopf
    • Journal Title

      Journal of Machine Learning Research, Workshop & Conference Proceedings (ICML2014)

      Volume: 32 Pages: 10-18

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Gradient-based kernel dimension reduction for regression2014

    • Author(s)
      Fukumizu, K. and Chenlei, L.
    • Journal Title

      Journal of the American Statistical Association

      Volume: 109(505) Issue: 505 Pages: 359-370

    • DOI

      10.1080/01621459.2013.838167

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Hyperparameter Selection in Kernel Principal Component Analysis2014

    • Author(s)
      Alam, A. MD and Fukumizu, K.
    • Journal Title

      Journal of Computer Science

      Volume: 10(7) Issue: 7 Pages: 1139-1150

    • DOI

      10.3844/jcssp.2014.1139.1150

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098, KAKENHI-PLANNED-25120012
  • [Journal Article] Output Kernel Learning Methods2014

    • Author(s)
      Francesco Dinuzzo, Cheng Soon Ong, Kenji Fukumizu
    • Journal Title

      Regularization, Optimization, Kernels, and Support Vector Machines

      Volume: 1 Pages: 359-370

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels2013

    • Author(s)
      Fukumizu, K., Song, L., and Gretton, A.
    • Journal Title

      Journal of Machine Learning Research

      Volume: 14 Pages: 3753-3783

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] 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 ~2013

    • Author(s)
      金川元信, 福水健次
    • Journal Title

      電子情報通信学会技術報告

      Volume: IBISML 113(286) Pages: 147-154

    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] (2013) Equivalence of distance-based and RKHS-based statistics in hypothesis testing,,2013

    • Author(s)
      Sejdinovic, D., Sriperumbudur, B., Gretton, A. and Fukumizu, K.
    • Journal Title

      Annals of Statistics

      Volume: 41(5) Pages: 2263-2702

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Kernel Bayes' Rule : Bayesian inference with positive definite kernels2013

    • Author(s)
      K. Fukumizu, L. Song, and A. Gretton
    • Journal Title

      Journal of Machine Learning Research

      Volume: 14 Pages: 3753-3783

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Kernel embeddings of conditional distributions2013

    • Author(s)
      L. Song, K. Fukumizu, and A. Gretton
    • Journal Title

      IEEE Signal Processing Magazine

      Volume: 30 Pages: 98-111

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Kernel approximate Bayesian computation in population genetic inferences2013

    • Author(s)
      Shigeki Nakagome
    • Journal Title

      Statistical Application in Genetics and Molecular Biology

      Volume: 12(6) Issue: 6 Pages: 667-678

    • DOI

      10.1515/sagmb-2012-0050

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-12J03234, KAKENHI-PROJECT-22300098
  • [Journal Article] (2013) Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels2013

    • Author(s)
      Fukumizu, K., Song, L. and Gretton, A.
    • Journal Title

      Journal of Machine Learning Research

      Volume: 14 Pages: 3753-3783

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Journal Article] Kernel Embeddings of Conditional Distributions2013

    • Author(s)
      Song, L., Fukumizu, K., and Gretton, A.
    • Journal Title

      IEEE Signal Processing Magazine

      Volume: 30 Issue: 4 Pages: 98-111

    • DOI

      10.1109/msp.2013.2252713

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Optimal kernel choice for large-scale two-sample tests.2012

    • Author(s)
      A. Gretton, B. Sriperumbudur, D. Sejdinovic, H. Strathmann, S. Balakrishnan, M. Pontil, K. Fukumizu
    • Journal Title

      Advances in Neural Information Processing Systems 25 (NIPS2012)

      Pages: 1214-1222

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] On the empirical estimation of integral probability metrics.2012

    • Author(s)
      B. Sriperumbudur, K. Fukumizu, A. Gretton, B. Schoelkopf, G. Lanckriet
    • Journal Title

      Electronic Journal of Statistics 6

      Pages: 1550-1599

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Gradient-based kernel method for feature extraction and variable selection2012

    • Author(s)
      Kenji Fukumizu
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 25 Pages: 2123-2131

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Gradient-based kernel method for feature extraction and variable selection.2012

    • Author(s)
      K. Fukumizu, C. Leng
    • Journal Title

      Advances in Neural Information Processing Systems 25 (NIPS2012)

      Pages: 2123-2131

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Learning from Distributions via Support Measure Machines.2012

    • Author(s)
      K. Muandet, K. Fukumizu, F. Dinuzzo, B. Schoelkopf
    • Journal Title

      Advances in Neural Information Processing Systems 25 (NIPS2012)

      Pages: 10-18

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] New graph polynomials from the Bethe approximation of the Ising partition function Combinatorics2011

    • Author(s)
      Y. Watanabe and K. Fukumizu
    • Journal Title

      Probability and Computing. Published online

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html.

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Universality, Characteristic Kernels and RKHS Embedding of Measures2011

    • Author(s)
      Sriperumbudur, B.K., Fukumizu, K., Lanckriet, G.R.G.
    • Journal Title

      Journal of Machine Learning Research

      Volume: 12 Pages: 2389-2410

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Characteristic Kernels and RKHS Embedding of Measures2011

    • Author(s)
      B.K. Sriperumbudur, B.K., K. Fukumizu, and G.R.G. Lanckriet, G.R.G. Universality
    • Journal Title

      Journal of Machine Learning Research

      Volume: 12 Pages: 2389-2410

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Statistical approaches to combining binary classifiers for multi-class classification2011

    • Author(s)
      Yuichi Shiraishi, Kenji Fukumizu
    • Journal Title

      Neurocomputing

      Volume: 74(5) Pages: 680-688

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Universality, Characteristic Kernels and RKHS Embedding of Measures2011

    • Author(s)
      Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R.G. Lanckriet
    • Journal Title

      Journal of Machine Learning Research

      Pages: 2389-2410

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] 一次データを保存しない大規模科学計算の可能性2011

    • Author(s)
      高見利也, 戸田幹人, 福水健次
    • Journal Title

      情報処理学会研究報告

      Volume: 2011-HPC-129(3) Pages: 1-8

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Kernel Bayes' Rule2011

    • Author(s)
      Fukumizu, K., Song, L., Gretton, A.
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 24 Pages: 1737-1745

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Hilbert Space Embeddings and Metrics on Probability Measures.2011

    • Author(s)
      Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Scholkopf, Gert R.G. Lanckriet
    • Journal Title

      Journal of Machine Learning Research

      Volume: 11(Apr) Pages: 1517-1561

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Learning in Hilbert vs.Banach Spaces : A Measure Embedding Viewpoint2011

    • Author(s)
      Sriperumbudur, B.K., Fukumizu, K., G.Lanckriet, G.R.G
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 24 Pages: 1773-1781

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Graph Zeta function in the Bethe free energy in and loopy belief propagation2010

    • Author(s)
      Y. Watanabe and K. Fukumizu
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 22 Pages: 2017-2025

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] A Fast, Consistent Kernel Two-Sample Test2010

    • Author(s)
      A.Gretton, Z. Harchaoui, K. Fukumizu, B. Sriperumbudur
    • Journal Title

      Advances in Neural Information Processing Systems 22

      Volume: (MIT Press) Pages: 673-681

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] A Fast, Consistent Kernel Two-Sample Test.2010

    • Author(s)
      Gretton, A., Harchaoui, Z., Fukumizu, K., 他2名
    • Journal Title

      Advances in Neural Information Processing Systems 22(印刷中)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation2010

    • Author(s)
      Watanabe, Y., Fukumizu, K.
    • Journal Title

      Advances in Neural Information Processing Systems 22(印刷中)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] A Fast, Consistent Kernel Two-Sample Test2010

    • Author(s)
      Gretton, A., Z. Harchaoui, K. Fukumizu, B. Sriperumbudur.
    • Journal Title

      Advances in Neural Information Processing Systems 22

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions.2010

    • Author(s)
      Sriperumbudur, B., Fukumizu, K., 他3名
    • Journal Title

      Advances in Neural Information Processing Systems 22(印刷中)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation.2010

    • Author(s)
      Y.Watanabe and K.Fukumizu
    • Journal Title

      Advances in Neural Information Processing Systems 22

      Volume: (MIT Press) Pages: 2017-2025

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] 正定値カーネルによるノンパラメトリック推論2010

    • Author(s)
      福水健次
    • Journal Title

      統計数理

      Volume: 58 Pages: 185-206

    • NAID

      120006019314

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Hilbert Space Embeddings and Metrics on Probability Measures2010

    • Author(s)
      B.Sriperumbudur, A.Gretton, K.Fukumizu, B.Schoelkopf, G.Lanckriet
    • Journal Title

      Journal of Machine Learning Research

      Volume: 11 Pages: 1517-1561

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] G.R.G. Lanckriet. Hilbert Space Embeddings and Metrics on Probability Measures2010

    • Author(s)
      B.K. Sriperumbudur, A. Gretton, K. Fukumizu, B. Scholkopf
    • Journal Title

      Journal of Machine Learning Research. 11

      Pages: 1517-1561

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation2010

    • Author(s)
      Watanabe, Y., K. Fukumizu.
    • Journal Title

      Advances in Neural Information Processing Systems 22

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] New graph polynomials form the Bethe approximation of the Ising Partition function2010

    • Author(s)
      Y. Watanabe and K. Fukumizu
    • Journal Title

      Combinatories, Probability and Computing

      Volume: 20 Pages: 299-320

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions2010

    • Author(s)
      Sriperumbudur, B., K. Fukumizu, A. Gretton, G. Lanckriet, B. Scholkopf.
    • Journal Title

      Advances in Neural Information Processing Systems 22

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] New graph polynomials form the Bethe approximation of the Ising partition function2010

    • Author(s)
      Y.Watanabe, K.Fukumizu
    • Journal Title

      Combinatorics, Probability and Computing

      Volume: 20 Pages: 299-320

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] A fast, consistent Kernel two-sample test2010

    • Author(s)
      A.Gretton, K.Fukumizu, Z.Harchaoui, B.Sriperumbudur.
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 22 Pages: 673-681

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] Kernel choice and classifiability for RKHS embeddings of probability distributions2010

    • Author(s)
      B.Sriperumbudur, K.Fukumizu, A.Gretton, G.Lanckriet, G, B.Schoelkopf
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 22 Pages: 1750-1758

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Journal Article] New graph polynomials from the Bethe approximation of the Ising partition function.2010

    • Author(s)
      Watanabe, Y., K. Fukumizu.
    • Journal Title

      Combinatorics, Probability and Computing.

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Hilbert Space Embeddings and Metrics on Probability Measures2010

    • Author(s)
      B.K.Sriperumbudur, A.Gretton, K.Fukumizu, B.Scholkopf, G.R.G.Lanckriet
    • Journal Title

      Journal of Machine Learning Research

      Volume: 11 Pages: 1517-1561

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Hilbert Space Embeddings and Metrics on Probability Measures2010

    • Author(s)
      Sriperumbudur, B., Gretton, A., Fukumizu, K., 他2名
    • Journal Title

      Journal of Machine Learning Research 11

      Pages: 1517-1561

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Loop series expansion with propagation diagrams.2009

    • Author(s)
      Y. Watanabe, K. Fukumizu.
    • Journal Title

      Journal of Physics A: Mathematical and Theoretical. 42(4)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Exponential manifold by reproducing kernel Hilbert spaces2009

    • Author(s)
      K. Fukumizu
    • Journal Title

      Algebraic and Geometric methods in statistics (印刷中)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Kernel dimension reduction in regression.2009

    • Author(s)
      K. Fukumizu, F. R. Bach, M. Jordan.
    • Journal Title

      The Annals of statistics (印刷中)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Loop series expansion with propagation diagrams2009

    • Author(s)
      Y. Watanabe, K. Fukumizu
    • Journal Title

      Journal of Physics A : Mathematical and Theoretical 42(4)(オンライン)

      Pages: 45001-45001

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Characteristic Kernels on Groups and Semigroups2009

    • Author(s)
      K. Fukumizu, B. Sriperumbudur, A. Gretton, B. Schoelkopf.
    • Journal Title

      Advances in Neural Information Processing Systems 22

      Pages: 473-480

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Exponential manifold by reproducing kernel Hilbert spaces2009

    • Author(s)
      K. Fukumizu.
    • Journal Title

      Algebraic and Geometric methods in statistics.

      Pages: 291-306

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Characteristic Kernels on Groups and Semigroups2009

    • Author(s)
      K. Fukumizu, B. Sriperumbudur, A. Gretton, B. Schoelkopf
    • Journal Title

      Advances in Neural Information Processing Systems 22(印刷中)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Kernel dimension reduction in regression.2009

    • Author(s)
      K. Fukumizu, F.R. Bach, M. Jordan.
    • Journal Title

      The Annals of Statistics. 37(4)

      Pages: 1871-1905

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Kernels on structured objects through nested histograms2007

    • Author(s)
      M. Cuturi, K. Fukumizu.
    • Journal Title

      Advances in Neural Information Processing Systems 19

      Pages: 329-336

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Journal Article] Infinite dimensional exponential families by reproducing kernel Hilbert spaces2006

    • Author(s)
      Kenji Fukumizu
    • Journal Title

      Proceedings of the Second International Symposium on Information Geometry and its Applications

      Pages: 324-333

    • Data Source
      KAKENHI-PROJECT-15700241
  • [Journal Article] 正定値カーネルによる回帰問題における次元削減法2006

    • Author(s)
      福水 健次
    • Journal Title

      統計数理 53・2

      Pages: 189-200

    • NAID

      120006019087

    • Data Source
      KAKENHI-PROJECT-15700241
  • [Journal Article] ニューロ多様体の特異構造と無限の局所自由度2005

    • Author(s)
      福水 健次
    • Journal Title

      数理科学 2005年3月号

      Pages: 16-22

    • Data Source
      KAKENHI-PROJECT-15700241
  • [Journal Article] カーネル正準相関分析の一致性2005

    • Author(s)
      福水 健次
    • Journal Title

      第8回情報論的学習理論ワークショップ予稿集

      Pages: 63-68

    • Data Source
      KAKENHI-PROJECT-15700241
  • [Journal Article] Statistical Learning with Kernel Covariance Operators2005

    • Author(s)
      Kenji Fukumizu
    • Journal Title

      統計数理研究所 研究教育活動報告 21 International Symposium on the Art of Statistical Metaware

      Pages: 179-192

    • Data Source
      KAKENHI-PROJECT-15700241
  • [Journal Article] Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint.

    • Author(s)
      B. Sriperumbudur, K. Fukumizu, G. Lanckriet
    • Journal Title

      Advances in Neural Information Processing Systems 24 (NIPS2011)

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions.

    • Author(s)
      B. Sriperumbudur, K. Fukumizu, A. Gretton, G. Lanckriet and B. Scholkopf.
    • Journal Title

      Advances in Neural Information Processing Systems 22

      Volume: (MIT Press) Pages: 1750-1758

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Journal Article] Kernel Bayes' Rule

    • Author(s)
      K. Fukumizu, L. Song, A. Gretton
    • Journal Title

      Advances in Neural Information Processing Systems 24 (NIPS2011)

    • URL

      http://www.ism.ac.jp/~fukumizu/research.html

    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] Machine Learning with Group Theory2024

    • Author(s)
      福水健次
    • Organizer
      The Machine Learning Summer School in Okinawa 2024
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] 人工知能の謎に迫る -- 数理によるアプローチ --2024

    • Author(s)
      福水健次
    • Organizer
      N高等学校/S高等学校研究部特別講演
    • Invited
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] 系列データを用いた同変性による表現学習2023

    • Author(s)
      福水健次
    • Organizer
      公開シンポジウム データ駆動科学と情報計測の新展開
    • Invited
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023

    • Author(s)
      Le Tam, Nguyen Truyen, Kenji Fukumizu
    • Organizer
      The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] 群の作用により生成される時系列データからの表現学習2023

    • Author(s)
      福水健次
    • Organizer
      パーシステントホモロジー と表現論
    • Invited
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] 群の表現を用いた時系列からの情報抽出2023

    • Author(s)
      福水健次
    • Organizer
      機械学習と複素幾何に関するワークショップ
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] Out-of-Distribution Optimality of Invariant Risk Minimization2023

    • Author(s)
      豊田 祥史, 福水健次
    • Organizer
      第26回情報論的学習理論ワークショップ
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] Representation Learning of Equivariant Structure from Sequences2023

    • Author(s)
      Kenji Fukumizu
    • Organizer
      Workshop on Functional Inference and Machine Intelligence 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] Solving Choice-Based Linear Programs in Huge Scale2023

    • Author(s)
      Donghao Zhu, Hanzhang Qin, Kenji Fukumizu
    • Organizer
      Informs Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] 位相的データ解析とその応用2022

    • Author(s)
      福水健次
    • Organizer
      天文学における データ科学的方法
    • Invited
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] Domain generalization using label hierarchy2022

    • Author(s)
      福水健次
    • Organizer
      Kyoto Machine Learning Workshop
    • Data Source
      KAKENHI-ORGANIZER-22H05104
  • [Presentation] ラベルの階層性による不変学習2022

    • Author(s)
      豊田祥史; 福水健次
    • Organizer
      第25回情報論的学習理論ワークショップ (IBIS2022)
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] 報酬が過去の履歴に依存する場合のバンディットアルゴリズム2022

    • Author(s)
      谷本悠斗; 福水健次
    • Organizer
      第25回情報論的学習理論ワークショップ (IBIS2022)
    • Data Source
      KAKENHI-PLANNED-22H05106
  • [Presentation] Smoothness and Stability in Learning Generative Adversarial Networks2020

    • Author(s)
      Kenji Fukumizu
    • Organizer
      RIKEN AIP Mathematical Seminar
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Presentation] 深層生成モデルの理論と応用2020

    • Author(s)
      福水健次
    • Organizer
      第5回 統計・機械学習若手シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Presentation] Smoothness and Stability in Learning GANs2019

    • Author(s)
      Kenji Fukumizu
    • Organizer
      Workshop on Functional Inference and Machine Intelligence
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Presentation] カーネル法に基づく疎な言語表現のための高速計算可能な共起尺度2018

    • Author(s)
      横井祥, 小林 颯介, 福水健次, 乾 健太郎
    • Organizer
      2018年度 人工知能学会全国大会(第32回)
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2018

    • Author(s)
      Masaaki Imaizumi and Kenji Fukumizu
    • Organizer
      ICML 2018 Workshop on Theory of Deep Learning
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Presentation] 教師ありクラスタマッチングとその隕石-小惑星分類体系への応用2018

    • Author(s)
      福水健次
    • Organizer
      日本分類学会第37回大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Presentation] カーネル法に基づく疎な言語表現のための共起尺度2018

    • Author(s)
      横井祥, 小林颯介 , 福水健次, 乾健太郎
    • Organizer
      言語処理学会第24回年次大会
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Presentation] 汎化誤差評価によるGANの理論解析2018

    • Author(s)
      今泉 允聡、福水 健次
    • Organizer
      第21回情報論的学習理論ワークショップ (IBIS 2018)
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K19793
  • [Presentation] A Linear-Time Kernel Goodness-of-Fit Test2017

    • Author(s)
      W. Jitkrittum, W. Xu, Z. Szabo, K. Fukumizu, A. Gretton
    • Organizer
      Advances in Neural Information Processing Systems 30 (NIPS 2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-INTERNATIONAL-15K21718
  • [Presentation] 位相的データ解析への機械学習的アプローチ2017

    • Author(s)
      福水健次
    • Organizer
      公開シンポジウム「データサイエンス - 情報と統計が創造する未来 -」
    • Place of Presentation
      京都
    • Invited
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Local minima and saddle points in hierarchical structure of neural networks2017

    • Author(s)
      Kenji Fukumizu
    • Organizer
      Deep Learning: Theory, Algorithms, and Applications
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Presentation] 位相的データ解析のためのカーネル法2017

    • Author(s)
      草野元紀, 福水健次, 平岡裕章
    • Organizer
      第19回情報論的学習理論ワークショップ
    • Place of Presentation
      京都
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] データ構造を解明する機械学習アプローチ --グラフ構造、幾何構造--2017

    • Author(s)
      福水健次
    • Organizer
      第3回WIRPワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280009
  • [Presentation] Taxonomy Matching between Asteroids and Meteorites: Supervised Clustering Approach2017

    • Author(s)
      Fukumizu, K., Saito, Y., Miyamoto, H., Niihara, T. and Peng, H.
    • Organizer
      High-Dimensional Data-Driven Science (HD3-2017)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] カーネル法の最前線2016

    • Author(s)
      福水健次
    • Organizer
      第19回情報論的学習理論ワークショップ チュートリアル
    • Place of Presentation
      京都
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Structure Learning of Partitioned Markov Networks2016

    • Author(s)
      Song Liu, Taiji Suzuki, Masashi Sugiyama, and Kenji Fukumizu
    • Organizer
      33rd International Conference on Machine Learning
    • Place of Presentation
      New York
    • Year and Date
      2016-06-19
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Persistence weighted Gaussian kernel for topological data analysis2016

    • Author(s)
      福水健次
    • Organizer
      河原林ERATO 感謝祭III
    • Place of Presentation
      東京
    • Invited
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Persistence Weighted Gaussian Kernel for Topological Data Analysis2016

    • Author(s)
      Kenji Fukumizu
    • Organizer
      統計数理研究所第29回統計的機械学習セミナー
    • Place of Presentation
      東京
    • Year and Date
      2016-03-30
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Structure Learning of Partitioned Markov Networks2016

    • Author(s)
      Song Liu, Taiji Suzuki , Masashi Sugiyama, Kenji Fukumizu
    • Organizer
      The 33rd International Conference on Machine Learning
    • Place of Presentation
      New York
    • Year and Date
      2016-06-20
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Convergence guarantees for kernel-based quadrature rules in misspecified settings2016

    • Author(s)
      Motonobu Kanagawa, Barath K. Sriperumbudur, Kenji Fukumizu
    • Organizer
      Neural Information Processing Systems 30
    • Place of Presentation
      バルセロナ
    • Year and Date
      2016-12-05
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] 位相的データ解析の機械学習的方法とその物質科学への応用2016

    • Author(s)
      福水健次
    • Organizer
      MI2Iチュートリアルセミナー(第1回)
    • Place of Presentation
      東京
    • Year and Date
      2016-03-29
    • Invited
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Persistence weighted Gaussian kernel for topological data analysis2016

    • Author(s)
      Genki Kusano and Yasuaki Hiraoka and Kenji Fukumizu
    • Organizer
      33rd International Conference on Machine Learning
    • Place of Presentation
      ニューヨーク
    • Year and Date
      2016-06-20
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Kernel methods for topological data analysis2016

    • Author(s)
      Kenji Fukumizu
    • Organizer
      2nd UCL Workshop on the Theory of Big Data
    • Place of Presentation
      London
    • Year and Date
      2016-01-06
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Partitioned Markov Networks2016

    • Author(s)
      Song Liu, Taiji Suzuki , Masashi Sugiyama, Kenji Fukumizu
    • Organizer
      MIRU2016 第19回画像の認識・理解シンポジウム
    • Place of Presentation
      浜松
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] 統計的位相的データ解析と安定性定理2016

    • Author(s)
      草野元紀, 福水健次, 平岡裕章
    • Organizer
      応用数学合同研究集会
    • Place of Presentation
      滋賀
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] Statistical Machine Learning in the Era of Data2015

    • Author(s)
      Kenji Fukumizu
    • Organizer
      UK-Japan Big Data Workshop
    • Place of Presentation
      Tokyo
    • Year and Date
      2015-02-26
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Kernel Mean Particle Filter with Intractable Likelihoods2015

    • Author(s)
      Kenji Fukumizu, Motonobu Kanagawa, and Yoshimasa Uematsu
    • Organizer
      2015 International Workshop on Spatial and Temporal Modeling from Statistical, Machine Learning and Engineering perspectives (STM2015)
    • Place of Presentation
      東京
    • Year and Date
      2015-07-13
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] パーシステント図のカーネル関数2015

    • Author(s)
      草野元紀、平岡裕章、福水健次
    • Organizer
      2015年日本数学会秋季総合分科会
    • Place of Presentation
      京都
    • Year and Date
      2015-09-13
    • Data Source
      KAKENHI-PROJECT-26540016
  • [Presentation] 再生核ヒルベルト空間を用いた確率分布の表現とそのデータ解析への応用2015

    • Author(s)
      福水健次
    • Organizer
      数理解析研究所研究集会
    • Place of Presentation
      京都
    • Year and Date
      2015-10-07
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Kernel Mean Particle Filter with Intractable Likelihoods2015

    • Author(s)
      Kenji Fukumizu, Motonobu Kanagawa, and Yoshimasa Uematsu
    • Organizer
      NIPS 2015 Workshop: ABC in Montreal
    • Place of Presentation
      Montreal, Canada
    • Year and Date
      2015-12-11
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] カーネル法によるノンパラメトリックなベイズ推論2014

    • Author(s)
      福水健次
    • Organizer
      研究会:神経科学と統計科学の対話 4
    • Place of Presentation
      東京
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] カーネル法とスパースモデリング ~ カーネル法によるセミパラメトリック推論 ~2014

    • Author(s)
      福水健次
    • Organizer
      研究集会「地球科学と疎性モデリング」
    • Place of Presentation
      東大
    • Year and Date
      2014-11-14
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Nonparametric Bayesian Inference with Positive Definite Kernels,2014

    • Author(s)
      Fukumizu, K.
    • Organizer
      Workshop on Mathematical Approaches to Large-Dimensional Data Analysis
    • Place of Presentation
      東京
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] 正定値カーネルを用いた条件付き確率密度推定2014

    • Author(s)
      金川元信,鈴木大慈,福水健次
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      東京
    • Year and Date
      2014-09-14
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Model-based Kernel Sum Rule with Applications to State Space Models2014

    • Author(s)
      Yu Nishiyama, Motonobu Kanagawa, Arthur Gretton, Kenji Fukumizu
    • Organizer
      Neural Information Processing Systems (NIPS) Workshop
    • Place of Presentation
      Montreal, Canada
    • Year and Date
      2014-12-12
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Centering Similarity Measures to Reduce Hubs2013

    • Author(s)
      Suzuki, I., Hara, K., Jimbo, M., Saerens, M. and Fukumizu, K.
    • Organizer
      Conference on Empirical Methods in Natural Language Processing (EMNLP2013)
    • Place of Presentation
      Seattle, USA
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Regularization in Kernel Method for Bayesian Inference2013

    • Author(s)
      Fukumizu, K.
    • Organizer
      Applied Inverse Problem Conference
    • Place of Presentation
      Daejeon, Korea
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Higher-order Regularized Kernel CCA,2013

    • Author(s)
      Alam, MD, A. and Fukumizu, K.
    • Organizer
      The 12th International Conference on Machine Learning and Applications (ICMLA'13)
    • Place of Presentation
      Florida, USA
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Regularization in kernel method for Bayesian inference2013

    • Author(s)
      K. Fukumizu
    • Organizer
      Applied Inverse Problem Conference
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 高次元データの次元削減2013

    • Author(s)
      福水健次
    • Organizer
      計算材料科学と数学の協働によるスマート材料デザイン手法の探索 ― 階層構造を解析する
    • Place of Presentation
      仙台
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 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 ~2013

    • Author(s)
      金川元信, 福水健次
    • Organizer
      第16回情報論的学習理論ワークショップ
    • Place of Presentation
      東京
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] 無限分解可能分布におけるカーネル平均の検討2013

    • Author(s)
      西山悠, 福水健次
    • Organizer
      第16回情報論的学習理論ワークショップ
    • Place of Presentation
      東京
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Higher-order Regularized Kernel CCA,2013

    • Author(s)
      Alam,MD, A. and Fukumizu, K.
    • Organizer
      The 12th International Conference on Machine Learning and Applications (ICMLA'13)
    • Place of Presentation
      Florida, USA
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] 生体分子の分子動力学時系列データに対する統計解析42013

    • Author(s)
      戸田幹人,高見利也,福水健次,菊地浩人,藤崎弘士
    • Organizer
      日本物理学会年会
    • Place of Presentation
      広島大学
    • Year and Date
      2013-03-29
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] Statistical Methods with Positive Definite Kernels2012

    • Author(s)
      K. Fukumizu
    • Organizer
      The 2nd IMS Asia-Pacific Rim Meeting
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 生体分子の分子動力学時系列データに対する統計解析32012

    • Author(s)
      戸田幹人,高見利也,福水健次,菊地浩人,藤崎弘士
    • Organizer
      日本物理学会秋期大会
    • Place of Presentation
      横浜国大
    • Year and Date
      2012-09-20
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] Statistical Methods with Positive Definite Kernels2012

    • Author(s)
      Kenji Fukumizu
    • Organizer
      The 2nd Institute Mathematical Statistics Asia-Pacific Rim Meeting
    • Place of Presentation
      つくば
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] カーネル法によるセミパラメトリックな特徴抽出とスパース変数選択2012

    • Author(s)
      福水健次
    • Organizer
      圧縮センシングとその周辺(3)
    • Place of Presentation
      広島
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Kernel Bayes' Rule: Nonparametric Bayesian inference with kernels2012

    • Author(s)
      Kenji Fukumizu
    • Organizer
      Neural Information Processing Systems 2012 Workshop
    • Place of Presentation
      Lake Tahoe
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Kernel Bayes’ Rule and its Applications.2012

    • Author(s)
      Kenji Fukumizu
    • Organizer
      International Symposium on Bayesian Analysis 2012
    • Place of Presentation
      京都
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 生体分子の分子動力学時系列データに対する統計解析22012

    • Author(s)
      戸田幹人,高見利也,福水健次,菊地浩人,藤崎弘士
    • Organizer
      日本物理学会年会
    • Place of Presentation
      関西学院大学
    • Year and Date
      2012-03-24
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] スパースモデリングへのセミパラメトリックベイズ推論アプローチ2012

    • Author(s)
      福水健次
    • Organizer
      圧縮センシングとその周辺(4)~スパースモデリングの深化と高次元データ駆動科学の創成~
    • Place of Presentation
      東京
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Statistical Inference with Reproducing Kernels2011

    • Author(s)
      Fukumizu, K
    • Organizer
      8th International ISAAC Congress
    • Place of Presentation
      モスクワ(招待講演)
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 分子動力学データに対する統計解析2011

    • Author(s)
      戸田幹人, 高見利也, 福水健次
    • Organizer
      日本物理学会
    • Place of Presentation
      新潟大学
    • Year and Date
      2011-03-28
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] Statistical Mechanical Analysis of Low-Density Parity-Check Codes on General Markov Channel2011

    • Author(s)
      Alam, A., Fukumizu, K.
    • Organizer
      第14回情報論的学習理論ワークショップ
    • Place of Presentation
      奈良
    • Year and Date
      2011-11-09
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Graph Zeta Function and Loopy Belief Propagation2011

    • Author(s)
      Watanabe, Y., Fukumizu, K.
    • Organizer
      2011 International Symposium on Nonlinear Theory and its Applications
    • Place of Presentation
      神戸(招待講演)
    • Year and Date
      2011-09-05
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Learning low-rank output kernels2011

    • Author(s)
      Dinuzzo, F., Fukumizu, K.
    • Organizer
      3rd Asian Conference on Machine Learning
    • Place of Presentation
      台湾
    • Year and Date
      2011-11-14
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Graph Zeta Function and Loopy Belief Propagation2011

    • Author(s)
      Watanabe, Y. and Fukumizu, K
    • Organizer
      2011 International Symposium on Nonlinear Theory and its Applications
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Kernel and Feature Search in Kernel PCA2011

    • Author(s)
      Alam, A., Fukumizu, K.
    • Organizer
      3rd Asian Conference on Machine Learning
    • Place of Presentation
      台湾
    • Year and Date
      2011-11-14
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 分子動力学データに対する統計解析2011

    • Author(s)
      戸田幹人, 高見利也, 福水健次
    • Organizer
      日本物理学会2011 年ポスター発表
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] Statistical Inference with Reproducing Kernels2011

    • Author(s)
      K. Fukumizu
    • Organizer
      The 8th international ISAAC Congress
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] 生体分子の分子動力学時系列データに対する統計解析2011

    • Author(s)
      戸田幹人,高見利也,福水健次,菊地浩人,藤崎弘士
    • Organizer
      日本物理学会秋季大会
    • Place of Presentation
      富山大学
    • Year and Date
      2011-09-23
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] 分子動力学データに対する統計解析システムの構築と応用2011

    • Author(s)
      高見利也,戸田幹人,福水健次
    • Organizer
      2011 年ハイパフォーマンスコンピューティングと計算科学シンポジウム(HPCS2011)
    • Place of Presentation
      産業技術総合研究所
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] グラフ上のメッセージ伝搬アルゴリズムに現れるグラフゼータ関数について2010

    • Author(s)
      渡辺有祐, 福水健次
    • Organizer
      2010年度日本数学会年会
    • Place of Presentation
      慶応義塾大学
    • Year and Date
      2010-03-25
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Kernel Method for Bayesian Inference2010

    • Author(s)
      K. Fukumizu
    • Organizer
      The 2nd Asian Conference on Machine Learning
    • Invited
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Kernel Method for Bayesian Inference2010

    • Author(s)
      福水健次
    • Organizer
      The 2nd Asian Conference on Machine Learning
    • Place of Presentation
      東京
    • Year and Date
      2010-11-10
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] グラフ上の効率的計算アルゴリズムと幾何学2010

    • Author(s)
      福水健次
    • Organizer
      科研費研究会:新たな幾何学探訪勉強会
    • Place of Presentation
      松島
    • Year and Date
      2010-03-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Distance, Divergence, and Dependence Measure with Reproducing Kernel Hilbert Spaces2010

    • Author(s)
      福水健次
    • Organizer
      Information Geometry and its Applications III
    • Place of Presentation
      ライプチヒ(ドイツ)
    • Year and Date
      2010-08-05
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Computation of probabilities on graphs and its connection to the graph zeta function2010

    • Author(s)
      福水健次
    • Organizer
      RIKEN Long-term workshop : Mathematical Sciences and Their Applications
    • Place of Presentation
      上諏訪
    • Year and Date
      2010-09-20
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Nonparametric inference of dependence with positive definite kernels2010

    • Author(s)
      福水健次
    • Organizer
      Sino-foreign-interchange, Workshop on Intelligence Science and Intelligent Data Engineering
    • Place of Presentation
      ハルビン(中国)
    • Year and Date
      2010-06-03
    • Data Source
      KAKENHI-PROJECT-22300098
  • [Presentation] Nonparametric Tests of Conditional Independence with Reproducing Kernels2009

    • Author(s)
      福水健次
    • Organizer
      Dagstuhl Seminar 09401: Machine learning approaches to statistical dependences and causality
    • Place of Presentation
      ドイツ(Dagstuhl)
    • Year and Date
      2009-09-28
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] ベーテ自由エネルギーとLoopy belief Propagationに現れるグラフのゼータ関数について2009

    • Author(s)
      渡辺有祐, 福水健次
    • Organizer
      第12回情報論的学習理論ワークショップ(IBIS 2009)
    • Place of Presentation
      九州大学
    • Year and Date
      2009-10-19
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Nonparametric Tests of Conditional Independence with Reproducing Kernels2009

    • Author(s)
      福水健次
    • Organizer
      Dagstuhl Seminar 09401 : Machine learning approaches to statistical dependences and causality
    • Place of Presentation
      ドイツ(Dagstuhl)
    • Year and Date
      2009-09-28
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Conditional independence and dimension reduction with positive definite kernels2009

    • Author(s)
      福水健次
    • Organizer
      The 1st Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      韓国(ソウル)
    • Year and Date
      2009-07-01
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Conditional independence and dimension reduction with positive definite kernels2009

    • Author(s)
      福水健次
    • Organizer
      The 1st Institute of Mathematical Statistics AsiaPacific Rim Meeting
    • Place of Presentation
      韓国(ソウル)
    • Year and Date
      2009-07-01
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Dependence Analysis with Positive Definite Kernels2009

    • Author(s)
      福水健次
    • Organizer
      理研滞在型研究会:階層性を持つ大自由度力学系の時系列解析
    • Place of Presentation
      理化学研究所(和光)
    • Year and Date
      2009-05-24
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Reproducing Kernel Exponential Manifold : Estimation and Geometry.2008

    • Author(s)
      福水健次
    • Organizer
      Mathematical Explorations in Contemporary Statistics
    • Place of Presentation
      Sestri Levante, Italy
    • Year and Date
      2008-05-20
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Painless embeddings of distributions : the function space view2008

    • Author(s)
      福水健次
    • Organizer
      International Conference on Machine Learning 2008 (チュートリアル)
    • Place of Presentation
      Helsinki, Finland
    • Year and Date
      2008-07-05
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Dependence Analysis with Reproducing Kernel Hilbert Spaces2008

    • Author(s)
      福水健次
    • Organizer
      7th World Congress on Statistics and Probability
    • Place of Presentation
      シンガポール
    • Year and Date
      2008-07-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Independence, conditional independence, and characteristic kernels2008

    • Author(s)
      福水健次
    • Organizer
      German-Israel Foundation Workshop
    • Place of Presentation
      Tuebingen, Germany
    • Year and Date
      2008-05-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Painless embeddings of distributions: the function space view. (Reproducing Kernel Exponential Manifold: Estimation and Geometry)2008

    • Author(s)
      福水健次
    • Organizer
      International Conference on Machine Learning 2008 (チュートリアル)(Mathematical Explorations in Contemporary Statistics. )
    • Place of Presentation
      Helsinki, Finland (Sestri Levante, Italy)
    • Year and Date
      2008-07-05
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Independence and Conditional Independence with Reproducing Kernels2008

    • Author(s)
      福水健次
    • Organizer
      BIRS Workshop on Understanding the New Statistics
    • Place of Presentation
      Banff, Canada
    • Year and Date
      2008-09-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Independence, conditional independence, and characteristic kernels.2008

    • Author(s)
      福水健次
    • Organizer
      German-Israel Foundation Workshop
    • Place of Presentation
      Tuebingen, Germany
    • Year and Date
      2008-05-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] 再生核ヒルベルト空間を用いた統計的推論2008

    • Author(s)
      福水健次
    • Organizer
      京都大学数理解析研究所共同利用研究集会
    • Place of Presentation
      京都大学数理解析研究所
    • Year and Date
      2008-09-10
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Dependence Analysis with Reproducing Kernel Hilbert Spaces.2008

    • Author(s)
      福水健次
    • Organizer
      7th World Congress on statistics, Probability
    • Place of Presentation
      シンガポール
    • Year and Date
      2008-07-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Independence and Conditional Independence with Reproducing Kernels2008

    • Author(s)
      福水健次
    • Organizer
      BIRS Workshop on Understanding the New statistics
    • Place of Presentation
      Banff, Canada
    • Year and Date
      2008-09-16
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] A kernel-based causal learning algorithm.2007

    • Author(s)
      X. Sun, D. Janzing, B. Scholkopf, K. Fukumizu.
    • Organizer
      The 24th Annual International Conference on Machine Learning
    • Place of Presentation
      オレゴン(アメリカ合衆国)
    • Year and Date
      2007-06-23
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] カーネル法による条件付独立性尺度とその因果推論への応用2007

    • Author(s)
      福水健次
    • Organizer
      計算世界観ワークショップ
    • Place of Presentation
      東京
    • Year and Date
      2007-12-13
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] A Kernel Statistical Test of Independence2007

    • Author(s)
      A, Gretton, K, Fukumizu, C. -H. Teo, L, Song, B. Scholkopf, A. Smola.
    • Organizer
      21st Annual Conf. on Neural Information Processing Systems
    • Place of Presentation
      バンクーバー(カナダ)
    • Year and Date
      2007-12-04
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Learning Causal Structure with Kernel-based Dependence Measures2007

    • Author(s)
      福水健次
    • Organizer
      International Workshop on the Interface between Statistical Causal Inference and Bayesian Networks
    • Place of Presentation
      横浜
    • Year and Date
      2007-11-04
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] カーネル法による条件付独立性尺度とその因果推論への応用2007

    • Author(s)
      福水健次
    • Organizer
      計算世界観ワークショップ
    • Place of Presentation
      東工大
    • Year and Date
      2007-12-13
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] 再生核ヒルベルト空間による指数分布族と統計的推定2007

    • Author(s)
      福水健次
    • Organizer
      大阪市立大学数学研究所ミニスクール「情報幾何への入門と応用II」
    • Place of Presentation
      大阪
    • Year and Date
      2007-12-22
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] ループ展開による分配関数の解析と近似2007

    • Author(s)
      渡辺有祐, 福水健次
    • Organizer
      第10回情報論的学習理論ワークショップ(IBIS 2007)
    • Place of Presentation
      横浜
    • Year and Date
      2007-11-05
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Kernel Measures of Conditional Dependence2007

    • Author(s)
      福水健次
    • Organizer
      21st Annual Conference on Neural Information Processing Systems
    • Place of Presentation
      バンクーバー(カナダ)
    • Year and Date
      2007-12-05
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Kernel Measures of Conditional Dependence2007

    • Author(s)
      福水健次
    • Organizer
      Twenty-First Annual Conference on Neural Information Processing Systems
    • Place of Presentation
      バンクーバー(カナダ)
    • Year and Date
      2007-12-05
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] 再生核ヒルベルト空間を用いた統計的推論2007

    • Author(s)
      福水健次
    • Organizer
      実解析学シンポジウム2007(科研費研究集会)
    • Place of Presentation
      大阪
    • Year and Date
      2007-10-19
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] 多値判別における二値判別機の組み合わせ法の学習について2007

    • Author(s)
      白石友一, 福水健次
    • Organizer
      第10回情報論的学習理論ワークショップ(IBIS 2007)
    • Place of Presentation
      横浜
    • Year and Date
      2007-11-05
    • Data Source
      KAKENHI-PROJECT-19500249
  • [Presentation] Measuring Dependence and Conditional Dependence with Kernels

    • Author(s)
      Kenji Fukumizu
    • Organizer
      International Conf. Machine Learning 2014, Causality Workshop
    • Place of Presentation
      Beijing
    • Year and Date
      2014-06-25 – 2014-06-26
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Monte Carlo Filter with Kernel Mean Embedding

    • Author(s)
      Kenji Fukumizu
    • Organizer
      International Workshop on Spatial and Temporal Modeling from Statistical, Machine Learning and Engineering perspectives (STM2014)
    • Place of Presentation
      Tokyo
    • Year and Date
      2014-07-28 – 2014-07-29
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] セミパラメトリック推論とスパースモデリング

    • Author(s)
      福水健次
    • Organizer
      新学術領域研究「スパースモデリングの深化と高次元データ駆動科学の創成」2014年度公開シンポジウム
    • Place of Presentation
      東京工業大学(すずかけ台)
    • Year and Date
      2014-12-15 – 2014-12-17
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] Score Matching Estimation with Infinite Dimensional Exponential Family

    • Author(s)
      Kenji Fukumizu
    • Organizer
      Coop-Math Workshop: Information Geometry for Machine Learning
    • Place of Presentation
      理研(和光)
    • Year and Date
      2014-12-03 – 2014-12-05
    • Data Source
      KAKENHI-PLANNED-25120012
  • [Presentation] 生体分子の分子動力学時系列データに対する統計解析4

    • Author(s)
      戸田幹人,高見利也,福水健次,菊地浩人,藤崎弘士
    • Organizer
      日本物理学会年会
    • Place of Presentation
      広島大学
    • Data Source
      KAKENHI-PROJECT-22654047
  • [Presentation] 生体分子の分子動力学時系列データに対する統計解析3

    • Author(s)
      戸田幹人,高見利也,福水健次,菊地浩人,藤崎弘士
    • Organizer
      日本物理学会秋期大会
    • Place of Presentation
      横浜国立大学
    • Data Source
      KAKENHI-PROJECT-22654047
  • 1.  鈴木 大慈 (60551372)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 11 results
  • 2.  AKAHO Shotaro (40356340)
    # of Collaborated Projects: 2 results
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  • 3.  KABASHIMA Yoshiyuki (80260652)
    # of Collaborated Projects: 2 results
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  • 4.  IKEDA Shiro (30336101)
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  • 6.  TODA Mikito (70197896)
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    # of Collaborated Products: 10 results
  • 7.  TAKAMI Toshiya (10270472)
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  • 8.  Okada Masato (90233345)
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  • 12.  駒井 武 (30357024)
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  • 15.  平岡 裕章 (10432709)
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    # of Collaborated Products: 6 results
  • 16.  栗木 哲 (90195545)
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  • 17.  Omori Toshiaki (10391898)
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  • 18.  Nagata Kenji (10556062)
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  • 19.  LIU Song (80760579)
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  • 20.  Fujisaki Hiroshi (60573243)
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  • 21.  MATSUE Kaname (70610046)
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  • 22.  EGUCHI Shinto (10168776)
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  • 23.  KANAMORI Takafumi (60334546)
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  • 24.  FUJISAWA Hironori (00301177)
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  • 25.  MINAMI Mihoko (70277268)
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    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 27.  MURATA Noboru (60242038)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 28.  Okada Tomohisa (30321607)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 29.  Fujimoto Koji (10580110)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 30.  木川 隆則 (20270598)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 31.  谷藤 学 (60197530)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 32.  福島 孝治 (80282606)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 33.  藤代 一成 (00181347)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 34.  冨岡 亮太 (70518282)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 35.  小林 景 (90465922)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 4 results
  • 36.  甘利 俊一 (80010726)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 37.  汪 金芳 (10270414)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 38.  今泉 允聡 (90814088)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 39.  木村 正雄 (00373746)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 40.  李 聖林 (50620069)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 41.  鈴木 杏奈 (60796449)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 42.  白井 朋之 (70302932)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 43.  下平 英寿 (00290867)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 44.  河原 吉伸 (00514796)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 45.  横井 祥 (60888949)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 46.  Akiyama Kazunori
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 47.  Chandarana Hersh
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 48.  Cloos Martijn A.
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 49.  Chague-goff Chatherine
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 50.  Sriperumbudur Bharath
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 51.  Gretton Arthur
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 52.  Jitkrittum Wittawat
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 53.  Muandet Krikamol
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 54.  Doeleman Shep
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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