Hironori Fujisawa

Profile Information

Affiliation: Professor, Department of Mathematical Analysis and Statistical Inference, 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

Research Areas

Informatics / Statistical science /

Research History

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
Apr, 2023 - Present

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 - Present

学長選考・監察会議委員, 総合研究大学院大学
Nov, 2021 - Present

Associate Editor, Annals of the Institute of Statistical Mathematics
Apr, 2019 - Present

評議員, 総合研究大学院大学教育研究評議会
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, 2017 - Present

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
Jul, 2015 - Present

客員教授, 名古屋大学大学院医学系研究科
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

Papers

Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference

Kazuharu Harada, Hironori Fujisawa

Statistica Sinica, 2024
Robust regression against heavy heterogeneous contamination

Takayuki Kawashima, Hironori Fujisawa

Metrika, 86(4) 421-442, May, 2023
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
On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation

Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang

Journal of Multivariate Analysis, 143 165-184, Jan, 2016 Peer-reviewed
Global expression differences and tissue specific expression differences in rice evolution result in two contrasting types of differentially expressed genes

Youko Horiuchi, Yoshiaki Harushima, Hironori Fujisawa, Takako Mochizuki, Masahiro Fujita, Hajime Ohyanagi, Nori Kurata

BMC GENOMICS, 16, Dec, 2015 Peer-reviewed
Sparse principal component regression with adaptive loading

Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 89 192-203, Sep, 2015 Peer-reviewed
Robust estimation under heavy contamination using unnormalized models

Takafumi Kanamori, Hironori Fujisawa

BIOMETRIKA, 102(3) 559-572, Sep, 2015 Peer-reviewed

Misc.

アフィン不変ダイバージェンスとその応用 (統計多様体の幾何学の新展開)

金森敬文, 藤澤洋徳

数理解析研究所講究録, 1916 213-224, Sep, 2014
A-2 モデルに基づいたSNP遺伝子型タイピング(企画セッション:SNPデータの解析における統計的諸問題)(2003年度統計関連学会連合大会記録(日本統計学会第71回大会))

藤澤洋徳

日本統計学会誌, 33(3) 398-398, 2003

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

Teaching Experience

Professional Memberships

Research Projects

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

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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

Profile Information

Research Interests

Research Areas

Research History

Committee Memberships

Awards

Papers

Misc.

Books and Other Publications

Teaching Experience

Professional Memberships

Research Projects

Social Activities

Media Coverage

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