Rchr
J-GLOBAL ID:200901052189192175
Update date: Jul. 31, 2024
Shimodaira Hidetoshi
シモダイラ ヒデトシ | Shimodaira Hidetoshi
Affiliation and department:
Job title:
Professor
Other affiliations (1):
-
RIKEN Center for Advanced Integrated Intelligence Research
Visiting Scholar
Homepage URL (1):
http://stat.sys.i.kyoto-u.ac.jp
Research field (1):
Statistical science
Research keywords (6):
Mathematical Statistics
, Machine Learning
, バイオインフォマティクス
, 統計科学
, Bioinformatics
, Statistics
Research theme for competitive and other funds (16):
- 2022 - 2027 Fronteers of Data Science by Probabilistic Description and Inference of Dynamics
- 2023 - 2026 事前分布を活用する頻度論的推論
- 2020 - 2024 Research and development of nonlinear Selective Inference for high-dimensional and small number of samples data
- 2020 - 2023 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
- 2016 - 2020 Multivariate analysis of multi-domain data considering the association between data vectors
- 2016 - 2018 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
- 2014 - 2016 ネットワーク構造のスパースモデリングの探求
- 2012 - 2016 Computing confidence levels of many hypotheses for high-dimensional data
- 2008 - 2010 Theory of Bayesian Multiscale Bootstrap and its Applications
- 2005 - 2007 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
- 2002 - 2004 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
- 2000 - 2003 Development of Knowledge Discovery Systems by using the Hierarchical Bayesian Time Series Models
- 2000 - 2002 Developing Softwares for Molecular Phylogenetics
- 2000 - 2001 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
- 1998 - 2000 Time Series Analysis of Physical/Mental process in Human Brain
- 1998 - 1999 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
Show all
Papers (74):
-
Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira. Discovering Universal Geometry in Embeddings with ICA. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. 2023. 4647-4675
-
Yihua Zhu, Hidetoshi Shimodaira. 3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. 2023. 1. 1497-1515
-
Terada, Y., Shimodaira, H. Selective inference after feature selection via multiscale bootstrap. Annals of the Institute of Statistical Mathematics. 2023. 75. 1. 99-125
-
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira. Norm of Word Embedding Encodes Information Gain. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. 2022. 2108-2130
-
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira. Improving word mover's distance by leveraging self-attention matrix. CoRR. 2022. abs/2211.06229. 11160-11183
more...
MISC (120):
-
何いん臻, 高瀬侑亮, 石橋陽一, 下平英寿, 下平英寿. 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. 言語処理学会年次大会発表論文集(Web). 2024. 30th
-
大山百々勢, 大山百々勢, 山際宏明, 下平英寿, 下平英寿. 依存関係の大きさは意味の関連性を表す. 言語処理学会年次大会発表論文集(Web). 2024. 30th
-
高瀬侑亮, 下平英寿, 下平英寿. Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths. 電子情報通信学会技術研究報告(Web). 2023. 123. 90(NC2023 1-24)
-
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. Analogy Tasks in BioConceptVec using Biological Pathways. 電子情報通信学会技術研究報告(Web). 2023. 123. 90(NC2023 1-24)
-
橋本竜馬, 下平英寿, 下平英寿. 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. 統計関連学会連合大会講演報告集. 2023. 2023
more...
Books (10):
-
モデル選択 : 予測・検定・推定の交差点
岩波書店 2018 ISBN:9784007307317
-
Geometry of covariate shift with applications to active learning
MIT Press 2009 ISBN:9780262170055
-
書籍 21世紀の統計科学3
東京大学出版会 2008
-
Dataset Shift in Machine Learning (Neural Information Processing series)
MIT Press 2008
-
赤池情報量規準AIC -モデリング・予測・知識発見
共立出版 2007 ISBN:9784320121904
more...
Education (2):
- 1990 - 1995 The University of Tokyo
- 1986 - 1990 The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics
Professional career (2):
- Doctor of Engineering (The University of Tokyo)
- Master of Engineering (The University of Tokyo)
Work history (11):
- 2022/04 - 現在 RIKEN Center for Advanced Intelligence Project
- 2017/04 - 現在 Kyoto University Graduate School of Informatics Professor
- 2016/09 - 2022/03 RIKEN Center for Advanced Intelligence Project Team Leader
- 2012/04 - 2017/03 Osaka University Graduate School of Engineering Science Professor
- 2007/04 - 2012/03 Tokyo Institute of Technology Department of Mathematical and Computing Sciences Associate Professor
- 2005/05 - 2007/03 Tokyo Institute of Technology Department of Mathematical and Computing Sciences Associate Professor
- 2002/06 - 2005/04 Tokyo Institute of Technology Department of Mathematical and Computing Sciences Senior Lecturer
- 1996/07 - 2002/05 Institute of Statistical Mathematics Department of Prediction and Control Assistant Professor
- 1999/07 - 2001/01 Stanford University Department of Statistics Visiting Scholar
- 1995/04 - 1996/06 University of Tokyo Faculty of Engineering Research Fellow of the Japan Society for the Promotion of Science
- 1995/10 - 1996/03 University of Washington Department of Genetics post-doc at Felsenstein laboratory
Show all
Awards (6):
Association Membership(s) (3):
Return to Previous Page