Hidetoshi Shimodaira

Profile Information

Affiliation: Professor, Graduate School of Informatics, Kyoto University
: Visiting Scholar, RIKEN Center for Advanced Integrated Intelligence Research

Degree: Doctor of Engineering(Mar, 1995, The University of Tokyo)
Master of Engineering(Mar, 1992, The University of Tokyo)

ORCID iD: https://orcid.org/0000-0002-3371-7724
J-GLOBAL ID: 200901052189192175
Researcher ID: B-9127-2008
researchmap Member ID: 5000039827

External link: http://stat.sys.i.kyoto-u.ac.jp

Research Interests

Research Areas

Informatics / Statistical science /

Research History

Apr, 2022 - Present

(Visiting Scientist), RIKEN Center for Advanced Intelligence Project
Apr, 2017 - Present

Professor, Graduate School of Informatics, Kyoto University
Sep, 2016 - Mar, 2022

Team Leader, RIKEN Center for Advanced Intelligence Project
Apr, 2012 - Mar, 2017

Professor, Graduate School of Engineering Science, Osaka University
Apr, 2007 - Mar, 2012

Associate Professor, Department of Mathematical and Computing Sciences, Tokyo Institute of Technology
May, 2005 - Mar, 2007

Associate Professor, Department of Mathematical and Computing Sciences, Tokyo Institute of Technology
Jun, 2002 - Apr, 2005

Senior Lecturer, Department of Mathematical and Computing Sciences, Tokyo Institute of Technology
Jul, 1996 - May, 2002

Assistant Professor, Department of Prediction and Control, Institute of Statistical Mathematics
Jul, 1999 - Jan, 2001

Visiting Scholar, Department of Statistics, Stanford University
Apr, 1995 - Jun, 1996

Research Fellow of the Japan Society for the Promotion of Science, Faculty of Engineering, University of Tokyo
Oct, 1995 - Mar, 1996

post-doc at Felsenstein laboratory, Department of Genetics, University of Washington

Education

Apr, 1990 - Mar, 1995

The University of Tokyo
Apr, 1986 - Mar, 1990

Department of Mathematical Engineering and Information Physics, The Faculty of Engineering, The University of Tokyo

Awards

2010

研究業績賞, 日本統計学会

下平英寿
2008

著述賞, 計測自動制御学会

赤池弘次, 甘利俊一, 北川源四郎, 樺島祥介, 下平英寿, 室田一雄, 土谷隆
2006

Young Scientist Award by Ministry of Education, Culture, Sports, Science and Technology of Japan
2005

Fujino Prize, Tejima Seiichi Commemorative Foundation
2004

Tokyo Tech Award for Challenging Research
2003

ISI New Hot Papers (Computer Science 2003-07)

Papers

Discovering Universal Geometry in Embeddings with ICA

Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira

EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings, 4647-4675, May 22, 2023
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding

Yihua Zhu, Hidetoshi Shimodaira

EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, 1 1497-1515, May 22, 2023
Selective inference after feature selection via multiscale bootstrap

Terada, Y., Shimodaira, H.

Annals of the Institute of Statistical Mathematics, 75(1) 99-125, 2023
Norm of Word Embedding Encodes Information Gain

Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira

EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings, 2108-2130, Dec 19, 2022
Improving word mover's distance by leveraging self-attention matrix.

Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira

CoRR, abs/2211.06229 11160-11183, 2022
A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks

Inoue, M., Pham, T., Shimodaira, H.

IEEE Access, 10 35012-35025, 2022
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction.

Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira

CoRR, abs/2112.13951, 2021
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings.

Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira

CoRR, abs/2105.08585, 2021
Non-parametric estimation of the preferential attachment function from one network snapshot

Pham, T., Sheridan, P., Shimodaira, H.

Journal of Complex Networks, 9(5), Sep 18, 2021
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization.

Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

CoRR, abs/2005.00670, 2020
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate.

Akifumi Okuno, Hidetoshi Shimodaira

CoRR, abs/2002.03054, 2020
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate.

Akifumi Okuno, Hidetoshi Shimodaira

Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020(NeurIPS), 2020
More Powerful Selective Kernel Tests for Feature Selection.

Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira

The 23rd International Conference on Artificial Intelligence and Statistics(AISTATS), 820-830, 2020
Hyperlink regression via Bregman divergence.

Akifumi Okuno, Hidetoshi Shimodaira

Neural Networks, 126 362-383, 2020
Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks

Inoue, M., Pham, T., Shimodaira, H.

Journal of Informetrics, 14(3) 101042-101042, Aug, 2020
Spectral graph-based method of multimodal word embedding

Kazuki Fukui, Takamasa Oshikiri, Hidetoshi Shimodaira

Proceedings of TextGraphs@ACL 2017: The 11th Workshop on Graph-Based Methods for Natural Language Processing, 39-44, 2020 Peer-reviewed
Hyperlink regression via Bregman divergence

Okuno, A., Shimodaira, H.

Neural Networks, 126 362-383, Jun, 2020 Peer-reviewed
Robust graph embedding with noisy link weights

Akifumi Okuno, Hidetoshi Shimodaira

AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, 89 664-673, 2020 Peer-reviewed
Graph embedding with shifted inner product similarity and its improved approximation capability

Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, 89 644-653, 2020 Peer-reviewed
PAFit: An R package for the non-parametric estimation of preferential attachment and node fitness in temporal complex networks

Pham, T., Sheridan, P., Shimodaira, H.

Journal of Statistical Software, 92(3) 1-30, 2020 Peer-reviewed

Misc.

120

大規模言語モデルにおける幻覚緩和のための単語確率の外挿

何いん臻, 高瀬侑亮, 石橋陽一, 下平英寿, 下平英寿

言語処理学会年次大会発表論文集(Web), 30th, 2024
依存関係の大きさは意味の関連性を表す

大山百々勢, 大山百々勢, 山際宏明, 下平英寿, 下平英寿

言語処理学会年次大会発表論文集(Web), 30th, 2024
Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths

高瀬侑亮, 下平英寿, 下平英寿

電子情報通信学会技術研究報告(Web), 123(90(NC2023 1-24)), 2023
Analogy Tasks in BioConceptVec using Biological Pathways

山際宏明, 橋本竜馬, 荒金究, 村上賢, 大山百々勢, 下平英寿, 下平英寿, 岡田眞里子

電子情報通信学会技術研究報告(Web), 123(90(NC2023 1-24)), 2023
ランジュバンモンテカルロ法を用いた単語埋め込みのベイズ推論

橋本竜馬, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集, 2023, 2023
局所動径回帰を用いた最適なノンパラメトリック分類と株価予測への応用

奥野彰文, 奥野彰文, 操瑞行, 操瑞行, 中川慧, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集, 2023, 2023
Self-Attention行列を用いた最適輸送距離に基づく言い換え識別

山際宏明, 横井祥, 横井祥, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集 (統計関連学会連合大会報告集), 2021, Sep, 2022
単語分散表現のノルムと意味の強さの情報理論的解釈

大山百々勢, 大, 横井祥, 横井祥, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集 (統計関連学会連合大会報告集), 2022, Sep, 2022
単語ベクトルの長さは意味の強さを表す

大山百々勢, 大山百々勢, 横井祥, 横井祥, 下平英寿, 下平英寿

言語処理学会年次大会発表論文集(Web), 28th, Mar, 2022
A Study on Regression and Loss Functions for Multiscale k-Nearest Neighbour

CAO Ruixing, CAO Ruixing, 田中卓磨, 田中卓磨, 奥野彰文, 奥野彰文, 下平英寿, 下平英寿

人工知能学会全国大会(Web), 35th, 2021
Extreme Multi-Label Classification of Images via Multiscale k-Nearest Neighbour

田中卓磨, 奥野彰文, 奥野彰文, 下平英寿, 下平英寿

人工知能学会全国大会(Web), 35th, 2021
マルチスケールk-近傍法における外挿モデルの検討

操瑞行, 操瑞行, 田中卓磨, 田中卓磨, 奥野彰文, 奥野彰文, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集, 2021, 2021
単語埋め込みの加法構成性の精緻化と論理演算

内藤雅博, 内藤雅博, 横井祥, 横井祥, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集, 2021, 2021
任意のノード特徴量による成長機構をもつハイパーグラフモデル

井上雅章, 井上雅章, THONG Pham, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集, 2021, 2021
複雑ネットワークの成長過程を観測できない時の優先的選択関数の推定方法

THONG Pham, PAUL Sheridan, 下平英寿, 下平英寿

統計関連学会連合大会講演報告集, 2021, 2021
単語埋め込みによる論理演算

内藤雅博, 内藤雅博, 横井祥, 横井祥, 下平英寿, 下平英寿

言語処理学会年次大会発表論文集(Web), 27th, 2021
単語埋め込みの確率的等方化

横井祥, 横井祥, 下平英寿, 下平英寿

言語処理学会年次大会発表論文集(Web), 27th, 2021
単語埋め込みの二種類の加法構成性

KIM Geewook, KIM Geewook, 横井祥, 横井祥, 下平英寿, 下平英寿

言語処理学会年次大会発表論文集(Web), 26th, 2020
統計的思考法のすすめ選択的推測

寺田吉壱, 寺田吉壱, 下平英寿, 下平英寿

数理科学, 58(9), 2020
Visualization for Multimodal Relational Data using t-Stochastic Graph and Neighbor Graph Joint Embedding

水谷守裕, 奥野彰文, 福井一輝, 福井一輝, KIM Geewook, KIM Geewook, 下平英寿, 下平英寿

人工知能学会全国大会(Web), 34th, 2020

Books and Other Publications

モデル選択 : 予測・検定・推定の交差点

下平英寿, 伊藤秀一, 久保川達也, 竹内啓, 甘利俊一

岩波書店, 2018 (ISBN: 9784007307317)
Geometry of covariate shift with applications to active learning

(Role: Contributor)

MIT Press, 2009 (ISBN: 9780262170055)
書籍 21世紀の統計科学３

(Role: Contributor, 第８章ブートストラップ)

東京大学出版会, 2008
Dataset Shift in Machine Learning (Neural Information Processing series)

(Role: Contributor, Chapter 6)

MIT Press, 2008
赤池情報量規準AIC ―モデリング・予測・知識発見

(Role: Contributor, ４章)

共立出版, 2007 (ISBN: 9784320121904)
赤池情報量規準AIC : モデリング・予測・知識発見

赤池弘次, 甘利俊一, 北川源四郎, 樺島祥介, 下平英寿, 室田一雄, 土谷隆

共立出版, 2007 (ISBN: 9784320121904)
Statistical Methods in Molecular Evolution

(Role: Contributor, Chapter 17)

Springer, 2005
モデル選択 ─ 予測・検定・推定の交差点, 統計科学のフロンティア 3

(Role: Contributor, １章情報量規準によるモデル選択とその信頼性評価)

岩波書店, 2004
モデル選択 : 予測・検定・推定の交差点

下平英寿, 伊藤秀一, 久保川達也, 竹内啓, 甘利俊一

岩波書店, 2004 (ISBN: 4000068431)
A new criterion for selecting models from partially observed data

(Role: Contributor)

Lecture Notes in Statistics, Springer-Verlag, 1994

Professional Memberships

Research Projects

Fronteers of Data Science by Probabilistic Description and Inference of Dynamics

Grants-in-Aid for Scientific Research, Grant-in-Aid for Transformative Research Areas (A), Japan Society for the Promotion of Science, Jun, 2022 - Mar, 2027
事前分布を活用する頻度論的推論

科学研究費助成事業, 基盤研究(B), 日本学術振興会, Apr, 2023 - Mar, 2026

下平英寿, 寺田吉壱
Research and development of nonlinear Selective Inference for high-dimensional and small number of samples data

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024
多ドメイン関連性データのグラフ埋め込みによる表現学習

科学研究費助成事業, 基盤研究(B), 日本学術振興会, Apr, 2020 - Mar, 2023

下平英寿
Multivariate analysis of multi-domain data considering the association between data vectors

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2016 - Mar, 2020

Shimodaira Hidetoshi
ネットワーク構造のスパースモデリングとリサンプリングによる統計的推測

科学研究費助成事業, 新学術領域研究(研究領域提案型), 日本学術振興会, Apr, 2016 - Mar, 2018

下平英寿
ネットワーク構造のスパースモデリングの探求

科学研究費助成事業, 新学術領域研究(研究領域提案型), 日本学術振興会, Apr, 2014 - Mar, 2016

下平英寿
Computing confidence levels of many hypotheses for high-dimensional data

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

Shimodaira Hidetoshi, SHIMIZU Shohei, KANAMORI Takafumi
Theory of Bayesian Multiscale Bootstrap and its Applications

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2008 - 2010

SHIMODAIRA Hidetoshi
特異点を考慮した高精度リサンプリング法の開発とその応用

科学研究費助成事業, 若手研究(B), 日本学術振興会, 2005 - 2007

下平英寿
多重リサンプリングを用いたモデル信頼集合の構成法の開発とその応用

科学研究費助成事業, 若手研究(A), 日本学術振興会, 2002 - 2004

下平英寿
Development of Knowledge Discovery Systems by using the Hierarchical Bayesian Time Series Models

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2000 - 2003

HIGUCHI Tomoyuki, SATO Seisho, TAMURA Yoshiyasu, KITAGAWA Genshiro, SHIMODAIRA Hidetoshi, KAWASAKI Yoshinori
Developing Softwares for Molecular Phylogenetics

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2000 - 2002

HASEGAWA Masami, GOTOH Osamu, SHIMODAIRA Hidetoshi, HASHIMOTO Tetsuo, KISHINO Hirohisa
リサンプリングによるモデル信頼集合の構成法とその応用

科学研究費助成事業, 奨励研究(A), 日本学術振興会, 2000 - 2001

下平英寿
Time Series Analysis of Physical/Mental process in Human Brain

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

ISHIGURO Makio, OZAKI Tohru, NISHIMURA Chiaki, UCHIDA Sunao, SHIMODAIRA Hidetoshi, TAKIZAWA Yumi
情報量規準の分散を考慮したモデル信頼集合の構成とその応用

科学研究費助成事業, 奨励研究(A), 日本学術振興会, 1998 - 1999

下平英寿

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Papers

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