TERADA Yoshikazu 寺田吉壱

… Alternative Names

Terada Yoshikazu 寺田吉壱

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Researcher Number	10738793
Other IDs
Affiliation (Current)	2025: 大阪大学, 大学院基礎工学研究科, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 大阪大学, 大学院基礎工学研究科, 准教授 2020 – 2021: 大阪大学, 基礎工学研究科, 講師 2016 – 2018: 大阪大学, 基礎工学研究科, 助教 2015: 国立研究開発法人情報通信研究機構, 脳情報通信融合研究センター脳情報通信融合研究室, 研究員 2014: 独立行政法人情報通信研究機構, 脳情報通信融合研究センター脳情報通信融合研究室, 研究員
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Statistical science Except Principal Investigator Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Basic Section 59020:Sports sciences-related / Medium-sized Section 61:Human informatics and related fields
Keywords	Principal Investigator クラスタリング / 関数データ解析 / 漸近理論 / 教師なし学習 / 動的計画法 / 計算量削減 / 大規模データ / 高速化 / ネットワークデータ解析 / 半教師付き学習 … More / Spectral clustering / Normalized cut / 選択的推測 / Selective inference / 機械学習 / 半教師なし学習 / グラフ分割 / 高次元データ / クラスタリング法 / fMRIデータ / 関数データ / fMRIデータ解析 / 高次元データ解析 … More Except Principal Investigator 機械学習 / 頻度論 / サンプリング / MCMC法 / 仮説検定 / 事前分布 / ベイズ統計学 / 表現学習 / 分散表現 / 次元削減 / パターン認識 / 多変量解析 / スポーツ外傷・障害予防 / バイオメカニクス / 心理認知 / アスレティックトレーニング / 認知負荷 / 外傷予防 / 行動選択 / 意思決定 / リスク予測 / 前十字靭帯損傷 / 認知力学 / スポーツ外傷・障害予測 / 医療情報学 / 統計的推測 / 教師なし学習 / 生命科学 / 選択的推論 / 人工知能 / 統計科学 / 統計的仮説検定 / データサイエンス Less

離散的に観測された関数データに対する解析法の基礎的な理論研究Principal Investigator
- Principal Investigator
  
  寺田吉壱
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Osaka University
事前分布を活用する頻度論的推論
- Principal Investigator
  
  下平英寿
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
  Basic Section 61030:Intelligent informatics-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  Kyoto University
重篤スポーツ外傷のAI予測基盤の確立-選手心理と認知バイメカの連結的理解による-
- Principal Investigator
  
  小笠原一生
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 59020:Sports sciences-related
- Research Institution
  Osaka University
Development of clustering method for large and complex data and its theoretical propertiesPrincipal Investigator
- Principal Investigator
  
  Terada Yoshikazu
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Osaka University
探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証
- Principal Investigator
  
  竹内一郎
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  Nagoya University
  Nagoya Institute of Technology
Theory and application of unsupervised learning for Network data and functional dataPrincipal Investigator
- Principal Investigator
  
  Terada Yoshikazu
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Statistical theory of unsupervised learning with a focus on clustering methodsPrincipal Investigator
- Principal Investigator
  
  Terada Yoshikazu
- Project Period (FY)
  2014 – 2015
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Statistical science
- Research Institution
  National Institute of Information and Communications Technology

All 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014

All Journal Article Presentation

[Journal Article] Sparse kernel k-means for high-dimensional data2023
- Author(s)
  Guan Xin、Terada Yoshikazu
- Journal Title
  
  Pattern Recognition
  
  Volume: 144 Pages: 109873-109873
- DOI
  10.1016/j.patcog.2023.109873
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19756
[Journal Article] Selective inference after feature selection via multiscale bootstrap2022
- Author(s)
  Terada Yoshikazu、Shimodaira Hidetoshi
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: 75 Issue: 1 Pages: 99-125
- DOI
  10.1007/s10463-022-00838-2
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19756, KAKENHI-PROJECT-20H04148
[Journal Article] Sparse and Simple Structure Estimation via Prenet Penalization2022
- Author(s)
  Hirose Kei、Terada Yoshikazu
- Journal Title
  
  Psychometrika
  
  Volume: 1 Issue: 4 Pages: 1-26
- DOI
  10.1007/s11336-022-09868-4
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19756, KAKENHI-PROJECT-23K22410
[Journal Article] Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression2021
- Author(s)
  Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata
- Journal Title
  
  Geophysical Journal International
  
  Volume: - Issue: 2 Pages: 1018-1035
- DOI
  10.1093/gji/ggab124
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19K14592, KAKENHI-PROJECT-17H01703, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-17H01704, KAKENHI-PROJECT-20K19756
[Journal Article] Dynamic visualization for L1 fusion convex clustering in near-linear time2021
- Author(s)
  Bingyuan Zhang, Jie Chen, Yoshikazu Terada
- Journal Title
  
  Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence
  
  Volume: 161 Pages: 515-524
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19756
[Journal Article] Fast generalization error bound of deep learning without scale invariance of activation functions2020
- Author(s)
  Terada Yoshikazu、Hirose Ryoma
- Journal Title
  
  Neural Networks
  
  Volume: 129 Pages: 344-358
- DOI
  10.1016/j.neunet.2020.05.033
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19756
[Journal Article] Statistical analysis of sparse approximate factor models2020
- Author(s)
  Poignard Benjamin、Terada Yoshikazu
- Journal Title
  
  Electronic Journal of Statistics
  
  Volume: 14 Issue: 2 Pages: 3315-3365
- DOI
  10.1214/20-ejs1745
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19756, KAKENHI-PROJECT-19K23193
[Journal Article] Classification from only positive and unlabeled functional data2020
- Author(s)
  Terada Yoshikazu、Ogasawara Issei、Nakata Ken
- Journal Title
  
  The Annals of Applied Statistics
  
  Volume: 14 Issue: 4 Pages: 1724-1742
- DOI
  10.1214/20-aoas1404
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19756
[Journal Article] Kernel Normalized Cut: a Theoretical Revisit2019
- Author(s)
  Yoshikazu Terada, Michio Yamamoto
- Journal Title
  
  In Proceedings of International Conference on Machine Learning (ICML2019)
  
  Volume: 印刷中
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K16024
[Journal Article] Selective inference for testing trees and edges in phylogenetics2019
- Author(s)
  Hidetoshi Shimodaira, Yoshikazu Terada
- Journal Title
  
  arXiv
  
  Volume: －
- Open Access
- Data Source
  KAKENHI-PROJECT-16K16024
[Journal Article] Simple structure estimation via prenet penalization2018
- Author(s)
  Kei Hirose, Yoshikazu Terada
- Journal Title
  
  arXiv
  
  Volume: －
- Open Access
- Data Source
  KAKENHI-PROJECT-16K16024
[Journal Article] Selective inference for the problem of regions via multiscale bootstrap2017
- Author(s)
  Yoshikazu Terada, Hidetoshi Shimodaira
- Journal Title
  
  arXiv
  
  Volume: 1 Pages: 1-48
- Data Source
  KAKENHI-PROJECT-16K16024
[Journal Article] Symbolic Multidimensional Scaling2015
- Author(s)
  Patrik .J.F. Groenen and Yoshikazu Terada
- Journal Title
  
  Econometric Institute Research Papers
  
  Volume: EI 2015-15 Pages: 1-22
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] On some properties of reconstructed trajectories from sparse longitudinal data2023
- Author(s)
  Yoshikazu Terada
- Organizer
  The 15th Scientific Meeting of the Classification and Data Analysis Group
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] A statistical theory of clustering2023
- Author(s)
  Yoshikazu Terada
- Organizer
  Forum "Math-for-Industry" (FMfI) 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] On smoothing for spatial functional data2023
- Author(s)
  Yoshikazu Terada, Hidetoshi Matsui
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] クラスタリング法の統計理論と応用2023
- Author(s)
  寺田吉壱
- Organizer
  第43回情報計測オンラインセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] Dynamic prediction for variable-domain functional data2023
- Author(s)
  Yoshikazu Terada, Hidetoshi Matsui
- Organizer
  The 12th Conference of the IASC-ARS (IASC-ARS2023)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] Fast Approximation for large-scale clustering2022
- Author(s)
  Yoshikazu Terada, Michio Yamamoto
- Organizer
  The 11th Conference of the IASC-ARS The Asian Regional Section of the International Association for Statistical Computing
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] ベクトル量子化による大規模クラスタリングの近似法とその性質2022
- Author(s)
  寺田吉壱, 山本倫生
- Organizer
  科研費シンポジウム「データサイエンスと周辺領域の双方向的理解への挑戦」
- Invited
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] On weak convergence of recovered functional data2022
- Author(s)
  Yoshikazu Terada, Masaki Sasaki
- Organizer
  15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)
- Invited
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] 代表点を用いた大規模クラスタリングの近似法とその性質2022
- Author(s)
  寺田吉壱, 山本倫生
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論～新たな発展と関連分野への応用～」
- Invited
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] Regularized functional subspace clustering2022
- Author(s)
  Yoshikazu Terada, Michio Yamamoto
- Organizer
  CSDA & EcoSta Workshop on Statistical Data Science (SDS 2022)
- Invited
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] クラスタリングにおける汎用的な計算コスト削減法について2021
- Author(s)
  寺田吉壱, 山本倫生
- Organizer
  2021年度日本分類学会シンポジウム
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] 大規模なクラスタリングにおける計算量削減法について2020
- Author(s)
  寺田吉壱、山本倫生
- Organizer
  第5回統計・機械学習若手シンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] クラスタリングにおける汎用的な計算コスト削減法について2020
- Author(s)
  寺田吉壱、山本倫生
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K19756
[Presentation] 複雑なデータに対する解析法の理論と応用2018
- Author(s)
  寺田吉壱
- Organizer
  横浜市立大学データサイエンス学部セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] 関数データに適したsubspace clusteringとその性質2018
- Author(s)
  寺田吉壱, 山本倫生
- Organizer
  大規模統計モデリングと計算統計V
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] マルチスケール・ブートストラップによるモデル選択後のselective inference2018
- Author(s)
  寺田吉壱, 下平英寿
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Subspace clustering for functional data2018
- Author(s)
  Yoshikazu Terada, Michio Yamamoto
- Organizer
  The 314th meeting of Hiroshima Statistics Study Group
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Selective inference for the problem of regions via multiscale bootstrap2018
- Author(s)
  Yoshikazu Terada, Hidetoshi Shimodaira
- Organizer
  HeKKSaGon Multidisciplinary Joint Workshop toward Fusions between Data and Mathematical Sciences
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] 関数データ解析における分類問題について2018
- Author(s)
  寺田吉壱
- Organizer
  RIMS研究集会「高次元量子雑音の統計モデリング」
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] 関数データに対する部分空間クラスタリング法とその性質2018
- Author(s)
  寺田吉壱, 山本倫生
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Subspace clustering for functional data2018
- Author(s)
  Yoshikazu Terada, Michio Yamamoto
- Organizer
  The 2nd International Conference on Econometrics and Statistics (EcoSta2018)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Selective inference for the problem of regions via multiscale bootstrap2018
- Author(s)
  Yoshikazu Terada, Hidetoshi Shimodaira
- Organizer
  The 27th South Taiwan Statistics Conference and CIPS Annual Meeting 2018
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] 関数データ解析のスポーツ医学への応用2017
- Author(s)
  寺田吉壱，小笠原一生，中田研
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] マルチスケール・ブートストラップ法による近似的に不偏なselective inferenceとその応用2017
- Author(s)
  寺田吉壱，下平英寿
- Organizer
  研究集会大規模統計モデリングと計算統計IV
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Semi-supervised classification for functional data and its applications2017
- Author(s)
  Yoshikazu Terada
- Organizer
  The 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Possibilities and limitations of machine learning on unweighted graphs -From the viewpoint of random geometric graph theory-2017
- Author(s)
  Yoshikazu Terada, Ulrike von Luxburg
- Organizer
  HeKKSaGOn Working Group, Seeds in Mathematics versus Needs outside Mathematics, Winter School in Osaka 2017
- Place of Presentation
  大阪大学（大阪府，豊中市）
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Semi-supervised learning for functional data2017
- Author(s)
  Yoshikazu Terada
- Organizer
  Conference of the International Federation of Classification Societies (IFCS2017)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] マルチスケール・ブートストラップによる近似的に不偏なselective inference2017
- Author(s)
  寺田吉壱，下平英寿
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] 関数データ解析の有用性について～分類問題を中心として～2017
- Author(s)
  寺田吉壱
- Organizer
  JST CREST AIP チャレンジシンポジウム『ビッグデータ利活用のための基盤構築とその応用』
- Place of Presentation
  名古屋工業大学（愛知県，名古屋市）
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] 関数データに対する PU learning について2016
- Author(s)
  寺田吉壱
- Organizer
  平成28年度CREST研究集会『大規模統計モデリングと計算統計 III』
- Place of Presentation
  東京大学（東京都，目黒区）
- Invited
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Brain activity detection based on the difference-based HRF estimator2016
- Author(s)
  Yoshikazu Terada
- Organizer
  The Third CiNet Conference: Neural mechanisms of decision making: Achievements and new directions
- Place of Presentation
  CiNet, Osaka, Japan
- Year and Date
  2016-02-05
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] 関数データに対する半教師付き判別問題について2016
- Author(s)
  寺田吉壱
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学（石川県，金沢市）
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] なぜ normalized cut を用いないのか? Ncut の漸近的性質と Spectral Clustering との関係2016
- Author(s)
  寺田吉壱，山本倫生
- Organizer
  第19回情報論的学習理論ワークショップ (IBIS2016)
- Place of Presentation
  京都大学（京都府，京都市）
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] fMRIデータに対する血流動態反応関数のセミパラメトリック推測とその応用2016
- Author(s)
  寺田吉壱
- Organizer
  データ科学シンポジウム2015（科研費）『欠測データ解析とモデル選択：生体情報データの統計モデル』
- Place of Presentation
  大阪大学（大阪府，豊中市）
- Year and Date
  2016-01-22
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] Weighted kernel k-means法の統計的性質～ Graph cutは空間の分割を導くのか？～2016
- Author(s)
  寺田吉壱
- Organizer
  2016年度統計サマーセミナー
- Place of Presentation
  サヤン・テラスホテル＆リゾート（千葉県，夷隅郡）
- Data Source
  KAKENHI-PROJECT-16K16024
[Presentation] Asymptotic Properties of Difference-Based Estimation of Hemodynamic Response Function2015
- Author(s)
  寺田吉壱
- Organizer
  2015年度統計関連学会連合大会
- Place of Presentation
  岡山大学（岡山県，岡山市）
- Year and Date
  2015-09-08
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] On the difference-based estimator of Hemodynamic Response Function (HRF)2015
- Author(s)
  Yoshikazu Terada
- Organizer
  IASC Satellite Conference 2015: Statistical Computing for Data Science
- Place of Presentation
  Atlantico Buzios Convention & Resort, Buzios, RJ (Brazil)
- Year and Date
  2015-08-03
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] fMRIデータに対するシンプルで強い仮定を必要としない脳活動領域の特定法2015
- Author(s)
  寺田吉壱
- Organizer
  第 18 回情報論的学習理論ワークショップ (IBIS2015)
- Place of Presentation
  つくば国際会議場（茨城県，つくば市）
- Year and Date
  2015-11-26
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] 非重み付グラフに対するgraph embeddingとその理論的性質2015
- Author(s)
  寺田吉壱, Ulrike von Luxburg
- Organizer
  研究集会『大規模統計モデリングと計算統計』
- Place of Presentation
  東京大学（東京都，目黒区駒場）
- Year and Date
  2015-02-06
- Invited
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] Unweighted graphに対する機械学習の限界と可能性～ Random geometric graphの観点から～2014
- Author(s)
  寺田吉壱, Ulrike von Luxburg
- Organizer
  第17回情報論的学習理論ワークショップ（IBIS 2104）
- Place of Presentation
  名古屋大学（愛知県，名古屋市）
- Year and Date
  2014-11-17
- Data Source
  KAKENHI-PROJECT-26880031
[Presentation] Local Ordinal Embedding2014
- Author(s)
  寺田吉壱, Ulrike von Luxburg
- Organizer
  統計数学セミナー
- Place of Presentation
  大阪大学（大阪府，豊中市）
- Year and Date
  2014-11-11
- Invited
- Data Source
  KAKENHI-PROJECT-26880031

1. 竹内一郎 (40335146)

# of Collaborated Projects: 1 results

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2. 花田博幸 (00793035)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 稲津佑 (20869896)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 本谷秀堅 (60282688)

# of Collaborated Projects: 1 results

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5. 津田宏治 (90357517)

# of Collaborated Projects: 1 results

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6. 小笠原一生 (70443249)

# of Collaborated Projects: 1 results

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7. 内山彰 (70555234)

# of Collaborated Projects: 1 results

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8. SUBHASH・REVANKAR Gajanan (70899773)

# of Collaborated Projects: 1 results

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9. 下平英寿 (00290867)

# of Collaborated Projects: 1 results

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10. NAGAO Hiromichi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

TERADA Yoshikazu 寺田 吉壱

Terada Yoshikazu 寺田 吉壱

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離散的に観測された関数データに対する解析法の基礎的な理論研究Principal Investigator

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事前分布を活用する頻度論的推論

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重篤スポーツ外傷のAI予測基盤の確立-選手心理と認知バイメカの連結的理解による-

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Development of clustering method for large and complex data and its theoretical propertiesPrincipal Investigator

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探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証

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Theory and application of unsupervised learning for Network data and functional dataPrincipal Investigator

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Statistical theory of unsupervised learning with a focus on clustering methodsPrincipal Investigator

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[Journal Article] Sparse kernel k-means for high-dimensional data2023

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[Journal Article] Selective inference after feature selection via multiscale bootstrap2022

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[Journal Article] Sparse and Simple Structure Estimation via Prenet Penalization2022

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[Journal Article] Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression2021

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[Journal Article] Dynamic visualization for L1 fusion convex clustering in near-linear time2021

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[Journal Article] Fast generalization error bound of deep learning without scale invariance of activation functions2020

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[Journal Article] Statistical analysis of sparse approximate factor models2020

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TERADA Yoshikazu 寺田吉壱

Terada Yoshikazu 寺田吉壱