Hironori Fujisawa

Profile Information

Affiliation

Professor, Department of Fundamental Statistical Mathematics, The Institute of Statistical Mathematics

Researcher number

00301177

J-GLOBAL ID

200901072385753275

researchmap Member ID

1000275681

External link

http://www.ism.ac.jp/~fujisawa/

Research Interests

• Statistical Science
• Sparse Modeling
• Robust Statistics
• Divergence
• Missing Data
• Multiple Imputation
• Asymmetric Distribution
• Mixed Effects Models
• Multiple Testing
• Causal Inference
• Genome Data Analysis
• Bioinformatics

Research Areas

• Informatics / Statistical science /

Research History

• Apr, 2024 - Present

  The Graduate University for Advanced Studies
• Mar, 2024 - Present

  The Institute of Statistical Mathematics
• 2013 - Present

  Professor, The Institute of Statistical Mathematics
• 2007 - 2013

  Associate Professor, The Institute of Statistical Mathematics
• 2001 - 2007

  The Institute of Statistical Mathematics
• 1997 - 2001

  Assistant Professor, Tokyo Institute of Technology

Committee Memberships

• Apr, 2023 - Present

  委員, 総合研究大学院大学 運営会議
• Nov, 2021 - Present

  Associate Editor, Annals of the Institute of Statistical Mathematics
• Aug, 2018 - Present

  客員研究員, 理化学研究所 革新知能統合研究センター
• Jul, 2015 - Mar, 2025

  客員教授, 名古屋大学大学院医学系研究科
• Apr, 2023 - Mar, 2024

  統計科学コース長, 総合研究大学院大学 先端学術院 先端学術専攻
• Jul, 2022 - Mar, 2024

  学長選考・監察会議委員, 総合研究大学院大学
• Apr, 2019 - Mar, 2024

  評議員, 総合研究大学院大学 教育研究評議会
• Jul, 2017 - Feb, 2024

  副センター長, 統計数理研究所 ものづくりデータ科学研究センター
• Apr, 2022 - Mar, 2023

  委員, 総合研究大学院大学 全学教育委員会
• Apr, 2020 - Mar, 2023

  委員, 全学評価実施委員会
• Apr, 2019 - Mar, 2023

  統計科学専攻長, 総合研究大学院大学 複合科学研究科
• Jul, 2017 - Oct, 2021

  Chief Editor, Annals of the Institute of Statistical Mathematics
• Aug, 2020

  運営委員, DS系大学教育組織連絡会
• Aug, 2015 - Jun, 2017

  Associate Editor, Annals of the Institute of Statistical Mathematics
• Apr, 2015 - Mar, 2017

  実施担当, 文部科学省委託事業 「数学・数理科学と諸科学・産業との協働によるイノベーション創出のための研究促進プログラム」(数学協働プログラム)
• May, 2014 - May, 2016

  理事, 応用統計学会
• Apr, 2008 - Jul, 2015

  Co-Editor, Annals of the Institute of Statistical Mathematics
• 2006 - Mar, 2008

  Associate Editor, Annals of the Institute of Statistical Mathematics
• Sep, 2006 - Sep, 2007

  企画委員, 統計関連学会連合大会
• 2007 - 2007

  企画選考委員, 文化庁

Awards

• 2025

  日本統計学会賞, 日本統計学会
• 2020

  優秀報告賞, 第23回情報論的学習理論ワークショップ
• 2016

  研究業績賞, 日本統計学会
• 2014

  研究会賞 ファイナリスト, 情報論的学習理論と機械学習(IBISML)研究会

Papers

• Robust Parameter Estimation of Non-Linear State Space Models Using a Divergence-Based Estimator

  Haruya Ishizuka, Hironori Fujisawa

  IEEE Transactions on Signal Processing, 73 2433-2447, Jun, 2025 Peer-reviewed
• Outlier Robust and Sparse Estimation of Linear Regression Coefficients

  Sasai, T., Fujisawa, H.

  Journal of Machine Learning Research, 26(93) 1-79, May, 2025 Peer-reviewed
• Sparse Modal Regression with Mode-Invariant Skew Noise

  Koyama, K, Kawashima, T, Fujisawa, H

  Transactions on Machine Learning Research, Sep, 2024 Peer-reviewed
• Density Ratio Estimation with Doubly Strong Robustness

  Ryosuke Nagumo, Hironori Fujisawa

  The Forty-first International Conference on Machine Learning, Jul, 2024 Peer-reviewed
• Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference

  Kazuharu Harada, Hironori Fujisawa

  Statistica Sinica, 34 133-155, Jan, 2024 Peer-reviewed
• Robust regression against heavy heterogeneous contamination

  Takayuki Kawashima, Hironori Fujisawa

  Metrika, 86(4) 421-442, May, 2023 Peer-reviewed
• Sparse estimation of Linear Non-Gaussian Acyclic Model for Causal Discovery

  Kazuharu Harada, Hironori Fujisawa

  Neurocomputing, 459 223-233, Oct, 2021 Peer-reviewed
• EM algorithm using overparameterization for the multivariate skew-normal distribution

  Toshihiro Abe, Hironori Fujisawa, Takayuki Kawashima, Christophe Ley

  Econometrics and Statistics, 19 151-168, Mar, 2021 Peer-reviewed
• Transfer Learning via l1 Regularization

  Masaaki Takada, Hironori Fujisawa

  The 34th Annual Conference on Neural Information Processing Systems (NeurIPS), 14266-14277, Dec, 2020 Peer-reviewed
• Independently Interpretable Lasso for Generalized Linear Models

  Masaaki Takada, Taiji Suzuki, Hironori Fujisawa

  Neural Computation, 32(6) 1168-1221, Jun, 2020 Peer-reviewed
• Multivariate skew distributions with mode-invariance through the transformation of scale

  Toshihiro Abe, Hironori Fujisawa

  Japanese Journal of Statistics and Data Science, 2(2) 529-544, Dec, 2019 Peer-reviewed
• Robust and sparse regression in generalized linear model by stochastic optimization

  Takayuki Kawashima, Hironori Fujisawa

  Japanese Journal of Statistics and Data Science, 2(2) 465-489, Dec, 2019 Peer-reviewed
• HMLasso: Lasso with High Missing Rate

  Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa

  Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI), 3541-3547, Aug, 2019 Peer-reviewed
• A bias-corrected estimator in multiple imputation for missing data

  Hiroaki Tomita, Hironori Fujisawa, Masayuki Henmi

  Statistics in Medicine, 37(23) 3373-3386, Oct 15, 2018 Peer-reviewed
• Sparse principal component regression for generalized linear models

  Kawano, S, Fujisawa, H, Takada, T, Shiroishi, T

  Computational Statistics & Data Analysis, 124 180-196, Aug, 2018 Peer-reviewed
• Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables

  Masaaki Takada, Taiji Suzuki, Hironori Fujisawa

  Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS), 84 454-463, Apr, 2018 Peer-reviewed
• Robust and sparse Gaussian graphical modelling under cell-wise contamination

  Shota Katayama, Hironori Fujisawa, Mathias Drton

  Stat, 7(1) e181-e181, 2018 Peer-reviewed
• Robust sparse Gaussian graphical modeling

  Kei Hirose, Hironori Fujisawa, Jun Sese

  Journal of Multivariate Analysis, 161 172-190, Sep, 2017 Peer-reviewed
• Robust and Sparse Regression via gamma-divergence

  Kawashima, T, Fujisawa, H

  Entropy, 19 e608, 2017 Peer-reviewed
• SPARSE AND ROBUST LINEAR REGRESSION: AN OPTIMIZATION ALGORITHM AND ITS STATISTICAL PROPERTIES

  Shota Katayama, Hironori Fujisawa

  Statistica Sinica, 27 1243-1264, 2017 Peer-reviewed

Books and Other Publications

• 臨床試験の事典

  丹後, 俊郎, 松井, 茂之 (Role: Contributor)

  朝倉書店, Jan, 2023 (ISBN: 9784254322644)
• 大規模計算時代の統計推論 : 原理と発展

  Bradley Efron ・Trevor Hastie 著.藤澤 洋徳・井手 剛監訳.井尻 善久・井手 剛・牛久 祥孝・梅津 佑太・大塚 琢馬・尾林 慶一・川野 秀一・田栗 正隆・竹内 孝・橋本 敦史・藤澤 洋徳・矢野 恵佑 訳

  共立出版, Jul, 2020 (ISBN: 9784320114340)
• ロバスト統計 : 外れ値への対処の仕方

  藤澤洋徳

  近代科学社, Jul, 2017 (ISBN: 9784764905429)
• ロバスト推測

  藤澤洋徳 (Role: Contributor)

  朝倉書店「医学統計学事典」, 2009
• 重みつきスコアに基づいたロバスト推定

  藤澤洋徳 (Role: Contributor)

  朝倉書店「統計データ科学事典」, 2007
• 確率と統計

  藤澤洋徳

  朝倉書店, 2006

Presentations

• 統計科学とその周辺分野との関わり

  藤澤洋徳

  統計関連学会連合大会, Sep 10, 2025 Invited
• バイオマーカーに基づく疾患分類に適したバッチ効果補正手法

  四辻嵩直, 高田正彬, 李根, 藤澤洋徳

  統計関連学会連合大会, Sep 8, 2025
• 数理統計から異分野協働へ

  藤澤洋徳

  研究集会「数理統計の可能性 ―数理の展開と諸科学への応用」, Mar 28, 2025 Invited
• 外れ値に頑健な密度比推定

  南雲亮佑, 藤澤洋徳

  第27回情報論的学習理論ワークショップ, Nov 5, 2024
• 小標本におけるカテゴリー変数の水準間スパース性を用いたパラメータ推定

  李根, 高田正彬, 四辻嵩直, 藤澤洋徳

  第27回情報論的学習理論ワークショップ, Nov 5, 2024
• バッチエフェクトに適応的ながん種分類モデルのベンチマーク評価

  四辻嵩直, 高田正彬, 李根, 藤澤洋徳

  第27回情報論的学習理論ワークショップ, Nov 5, 2024
• Density Ratio Estimation with Doubly Strong Robustness

  Nagumo, R, Fujisawa, H

  The 41st International Conference on Machine Learning (ICML), Jul 21, 2024
• Adaptive Lasso, Transfer Lasso, and Beyond

  高田正彬, 藤澤洋徳

  第26回情報論的学習理論ワークショップ, Oct 31, 2023
• 歪ノイズに基づくスパースなモード回帰

  小山和輝, 川島孝行, 藤澤洋徳

  第26回情報論的学習理論ワークショップ, Oct 30, 2023
• Lasso, Adaptive Lasso, Transfer Lassoの漸近解析とその拡張

  高田 正彬, 藤澤 洋徳

  統計関連学会連合大会, Sep 5, 2023
• 大量の外れ値を含むデータセットにおける状態空間モデルのロバスト推定

  石塚 治也, 藤澤 洋徳

  統計関連学会連合大会, Sep 5, 2023
• 総合研究大学院大学先端学術院先端学術専攻統計科学コースの現況

  藤澤洋徳

  統計関連学会連合大会, Sep 5, 2023 Invited
• Transfer Learning via L1 Regularization

  Fujisawa, H

  ISI-ISM-ISSAS Joint Conference, Feb 16, 2023 Invited

Teaching Experience

• 数理特論II (大阪大学 数理・データ科学教育研究センター)
• 統計学概論 (東京工業大学 工学部)
• 統計的推測の基礎 (名古屋大学大学院 医学系研究科 生物統計学分野)
• ロバスト推測 (広島大学 理学部 数学科)
• 基礎統計 (東京大学 教養学部)
• 漸近理論 (東京理科大学大学院 工学研究科 経営工学専攻 (医薬統計コース))
• 統計数学続論 (慶応義塾大学 理工学部 数理科学科)
• 統計データ解析 (東京理科大学 理学部 数理情報科学科)

Professional Memberships

• American Statistical Association
• THE MATHEMATICAL SOCIETY OF JAPAN
• THE BIOMETRIC SOCIETY OF JAPAN
• JAPANESE SOCIETY OF APPLIED STATISTICS
• THE JAPAN STATISTICAL SOCIETY

Research Projects

• 複雑構造ビッグデータに対するロバスト統計手法の開発

  科学研究費助成事業, 基盤研究(C), 日本学術振興会, Apr, 2024 - Mar, 2029

  藤澤 洋徳
• Robust estimation with effective learning

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2024
• Skew-symmetric distributions with natural skewness and their applications to financial engineering

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2013 - Mar, 2017

  Fujisawa Hironori, ABE TOSHIHIRO, NINOMIYA YOSHIYUKI, TSUBAKI HIROE
• Theoretical considerations of model selection method based on a minimization of an information criterion

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, Apr, 2013 - Mar, 2016

  Yanagihara Hirokazu, FUJISAWA HIRONORI, NINOMIYA YOSHIYUKI
• Design and statistical analysis in translational clinical trials

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2012 - Mar, 2016

  Matsui Shigeyuki, YAMAGUCHI Takuhiro, FUJISAWA Hironori, DAIMON Takashi, SOZU Takashi, KAWAGUCHI Atsushi, ITO Yoichi, YAMANAKA Takeharu, HIRAKAWA Akihiro, NOMA Hisashi
• Efficient multiple testing methods for genome data

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2010 - 2012

  FUJISAWA Hironori, NINOMIYA Yoshiyuki, SAKAGUCHI Takayuki, TAKADA Toyoyuki
• Development and Application of A Non-iterative Selection Methods for Smoothing Parameters

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, 2010 - 2012

  YANAGIHARA Hirokazu, FUJISAWA Hironori, NINOMIYA Yoshiyuki
• Integration of Statistics and Machine Learning for Combining Prediction, Knowledge Discovery and Inference.

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, 2008 - 2012

  EGUCHI Shinto, KURIKI Satoshi, FUJISAWA Hironori, HENMI Masayuki, MATSUURA Masaaki, MANO Shuhei, KOMORI Osamu, TAKENOUCHI Takashi, KAWAKITA Masanori
• Robust inference and its application to genome data

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, 2007 - 2009

  FUJISAWA Hironori
• Development of statistical methodology for detecting factors of disease mechanism based on clinical omics data

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2007 - 2008

  MATSUURA Masaaki, EGUCHI Shinto, FUJISAWA Hironori, HOSHIKAWA Yutaka, ISOMURA Minoru, MIYATA Satoshi, USHIJIMA Masaru
• New statistical methodology for genome diversity analysis

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2004 - 2007

  EGUCHI Shinto, FUJISAWA Hironori, HEMMI Masayuki, MATSUURA Masaaki, TAKASHI Takenouchi, MASANORI Kawakita
• 正規混合分布とロバスト推測

  科学研究費助成事業, 若手研究(B), 日本学術振興会, 2003 - 2005

  藤澤 洋徳
• マイクロアレイデータからの関連遺伝子抽出のためのブリッジング・スタディー

  科学研究費助成事業, 萌芽研究, 日本学術振興会, 2003 - 2004

  江口 真透, 南 美穂子, 藤澤 洋徳, 松浦 正明, 宮田 敏, 牛嶋 大
• Fusion of Statistics, Neural-Net, Machine Learning

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2001 - 2003

  EGUCHI Shinto, KANAMORI Takafumi, FUJISAWA Hironori, MINAMI Mihoko, MATSUURA Masaaki, MURATA Noboru
• 条件付最尤推定量の有効性について

  科学研究費助成事業, 若手研究(B), 日本学術振興会, 2001 - 2002

  藤澤 洋徳
• Spatio-temporal model based on Markov random fields and its application to forest ecology

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2000 - 2001

  MASE Shigeru, FUJISAWA Hironori
• 二値データに対する個体効果モデルの構築

  科学研究費助成事業, 奨励研究(A), 日本学術振興会, 1999 - 2000

  藤澤 洋徳
• The theory of growth data analysis and the development of its softwares

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B)., Japan Society for the Promotion of Science, 1998 - 2000

  FUJIKOSHI Yasunori, KANDA Takashi, OHOTAKI Megu, SHOHOJI Takao, FUJISAWA Hironori, WAKAKI Hirofumi
• Statistical Model of Mutually Non-intersecting Systems of Balls with High Intensity and Its Application to Environmental Sciences

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 1998 - 1999

  MASE Shigeru, FUJISAWA Hironori

Social Activities

• 高校数学教科書編集

  Edit

  数研出版, 2022 - Present

Media Coverage

• 機械学習モデルの保守作業を1/4に削減、東芝が新たなスパース学習技術を開発

  日経Robotics, Sexy Technology, Jan, 2021 Newspaper, magazine
• 欠損を含むデータから不具合要因を特定するHMLasso

  東芝2019年度技術戦略説明会, Nov, 2019
• 東芝らが「スパースモデリング」技術を改良、欠落が大きいデータでも効率的に学習、解釈もしやすく

  日経Robotics, Sexy Technology, Oct, 2019 Newspaper, magazine