Imaizumi Masaaki 今泉允聡

Researcher Number	90814088
Other IDs
Affiliation (Current)	2025: 東京大学, 大学院総合文化研究科, 准教授
Affiliation (based on the past Project Information) *help	2020 – 2024: 東京大学, 大学院総合文化研究科, 准教授 2018 – 2019: 統計数理研究所, 数理・推論研究系, 助教 2018: 統計数理研究所, 統計思考院, 助教 2017: 統計数理研究所, 統計的機械学習研究センター, 特別研究員(PD)
Review Section/Research Field	Principal Investigator 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 / Economic statistics 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 / Medium-sized Section 16:Astronomy and related fields / Basic Section 25030:Disaster prevention engineering-related / Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords	Principal Investigator 深層モデル / 統計学 / 機械学習 / ノンパラメトリック統計学 / 汎化誤差 / 深層学習 / 統計的推定・推論 / 非スパースモデル / 高次元統計学 / 大規模モデル … More / 関数データ / テンソルデータ / ガウス近似 / 過剰パラメータ / 統計的推論 / 比例的高次元 / ニューラルネットワーク / 高次元統計 / ミニマックス最適性 / 学習理論 / ノンパラメトリック統計 / 関数推定 … More Except Principal Investigator 機械学習 / 深層学習 / 多変量解析 / モデル評価規準 / 関数化理論 / 複雑系データ / 関数データ解析 / 関数データ解析法 / 時空間データ / 新たな複雑系データ / 統計計算・コンピュータ支援統計 / 統計的学習理論 / 宇宙論 / 銀河形成・進化 / 理論天文学 / 避難シミュレーション / リアルタイム推定 / リアルタイム予測 / 防災・減災 / ビッグデータ / データ駆動 / 大地震 / 予測 / シミュレーション / データ同化 / グラフニューラルネットワーク / 物的被害 / 避難行動 / 理論解析 / ニューラルネットワーク / 人工知能 Less

Theoretical development of non-sparse high-dimensional statistics for statistical understanding and utilization of large-degree-of-freedom modelsPrincipal Investigator
- Principal Investigator
  
  今泉允聡
- Project Period (FY)
  2024 – 2026
- 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
  The University of Tokyo
Machine-Learning-Reinforced Cosmic Structure Formation: From Large-Scale Structure Formation to Galaxy Evolution
- Principal Investigator
  
  竹内努
- Project Period (FY)
  2024 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 16:Astronomy and related fields
- Research Institution
  Nagoya University
新たな複雑系データのための関数データ解析手法の開発と適用
- Principal Investigator
  
  荒木由布子
- Project Period (FY)
  2023 – 2026
- 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
  Tohoku University
Developing a non-asymptotic inference theory for scientific hypothesis testing with statistical deep modellingPrincipal Investigator
- Principal Investigator
  
  Imaizumi Masaaki
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  The University of Tokyo
Development of real-time evacuee distribution estimation technology for major earthquakes by assimilating observed big data
- Principal Investigator
  
  Oki Takuya
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 25030:Disaster prevention engineering-related
- Research Institution
  Tokyo Institute of Technology
Advance of artificial intelligence by theoretical investigation of deep learning
- Principal Investigator
  
  Fukumizu Kenji
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  The Institute of Statistical Mathematics
Development of Function Estimation Theory to Investigate the Principles of Deep LearningPrincipal Investigator
- Principal Investigator
  
  Imaizumi Masaaki
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo
  The Institute of Statistical Mathematics
Kernel Method and Bayes Estimation for Flexible Structural ModelsPrincipal Investigator
- Principal Investigator
  
  今泉允聡
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for JSPS Fellows
- Research Field
  
  Economic statistics
- Research Institution
  The Institute of Statistical Mathematics

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] 人工知能とどうつきあうか: 哲学から考える2023
- Author(s)
  鈴木貴之, 柴田崇, 今泉允聡, 大塚淳, 中澤栄輔, 小野哲雄, 植原亮, 立花幸司, 上杉繁, 堀浩一, 関口海良
- Total Pages
  256
- Publisher
  勁草書房
- Data Source
  KAKENHI-PROJECT-21K11780
[Book] 応用基礎としてのデータサイエンス　AI×データ活用の実践2023
- Author(s)
  北川源四郎、竹村彰通、赤穂昭太郎、今泉允聡、内田誠一、清智也、高野渉、辻真吾、原尚幸、久野遼平、松原仁、宮地充子、森畑明昌、宿久洋
- Total Pages
  384
- Publisher
  講談社
- ISBN
  4065307899
- Data Source
  KAKENHI-PROJECT-21K11780
[Book] ニューラルネットワークとディープラーニング2022
- Author(s)
  Charu C. Aggarwal、竹村　彰通、今泉　允聡、李　鍾賛、今井　貴史、今井　徹、紅林　亘、齋藤　邦彦、健山　智子、寺田　裕、西出　俊、西出　亮
- Total Pages
  520
- Publisher
  学術図書出版社
- ISBN
  4780607140
- Data Source
  KAKENHI-PROJECT-21K11780
[Book] 深層学習の原理に迫る2021
- Author(s)
  今泉允聡
- Total Pages
  126
- Publisher
  岩波書店
- ISBN
  4000297031
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Uniform confidence band for optimal transport map on one-dimensional data2024
- Author(s)
  Ponnoprat Donlapark、Okano Ryo、Imaizumi Masaaki
- Journal Title
  
  Electronic Journal of Statistics
  
  Volume: 18 Issue: 1 Pages: 515-552
- DOI
  10.1214/23-ejs2211
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22KJ1067, KAKENHI-PROJECT-21K11780
[Journal Article] Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions2024
- Author(s)
  Shogo Nakakita,Pierre Alquier,Masaaki Imaizumi
- Journal Title
  
  Electronic Journal of Statistics
  
  Volume: 18 Issue: 1
- DOI
  10.1214/24-ejs2224
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression2024
- Author(s)
  Akifumi Okuno, Masaaki Imaizumi
- Journal Title
  
  Electronic Journal of Statistics
  
  Volume: 18 Issue: 1 Pages: 355-394
- DOI
  10.1214/23-ejs2202
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K17718, KAKENHI-PROJECT-21K11780
[Journal Article] 論文解説：可逆関数推定の難しさ - 生成モデルを念頭に2024
- Author(s)
  奥野彰文,今泉允聡
- Journal Title
  
  Jxiv
  
  Volume: -
- Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Bayesian Analysis for Over-parameterized Linear Model without Sparsity2023
- Author(s)
  Tomoya Wakayama,Masaaki Imaizumi
- Journal Title
  
  arXiv
  
  Volume: -
- Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training2023
- Author(s)
  Masaaki Imaizumi
- Journal Title
  
  arXiv
  
  Volume: -
- Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Instrumental variable regression via kernel maximum moment loss2023
- Author(s)
  Zhang Rui、Imaizumi Masaaki、Sch?lkopf Bernhard、Muandet Krikamol
- Journal Title
  
  Journal of Causal Inference
  
  Volume: 11 Issue: 1
- DOI
  10.1515/jci-2022-0073
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] High-dimensional Contextual Bandit Problem without Sparsity2023
- Author(s)
  Junpei Komiyama,Masaaki Imaizumi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: -
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics2023
- Author(s)
  Masahiro Kato,Masaaki Imaizumi,Kentaro Minami
- Journal Title
  
  Artificial Intelligence and Statistics
  
  Volume: PMLR 206
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics2023
- Author(s)
  Masahiro Kato, Masaaki Imaizumi, Kentaro Minami
- Journal Title
  
  Proceedings of Machine Learning Research
  
  Volume: 206
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Statistical Inference in High-Dimensional Generalized Linear Models with Asymmetric Link Functions2023
- Author(s)
  Kazuma Sawaya,Yoshimasa Uematsu,Masaaki Imaizumi
- Journal Title
  
  arXiv
  
  Volume: -
- Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Benign Overfitting of Non-Sparse High-Dimensional Linear Regression with Correlated Noise2023
- Author(s)
  Toshiki Tsuda,Masaaki Imaizumi
- Journal Title
  
  arXiv
  
  Volume: -
- Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Distribution-on-Distribution Regression with Wasserstein Metric: Multivariate Gaussian Case2023
- Author(s)
  Ryo Okano,Masaaki Imaizumi
- Journal Title
  
  arXiv
  
  Volume: -
- Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] On Generalization Bounds for Deep Networks Based on Loss Surface Implicit Regularization2023
- Author(s)
  Masaaki Imaizumi, Johannes Schmidt-Hieber
- Journal Title
  
  IEEE Transactions on Information Theory
  
  Volume: 69 Issue: 2 Pages: 1203-1223
- DOI
  10.1109/tit.2022.3215088
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension2022
- Author(s)
  M.Imaizumi, H.Ota, T.Hamaguchi
- Journal Title
  
  Neural Computation
  
  Volume: -
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Learning Causal Models from Conditional Moment Restrictions by Importance Weighting2022
- Author(s)
  Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi
- Journal Title
  
  International Conference on Learning Representations
  
  Volume: to appear
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurface2022
- Author(s)
  M.Imaizumi, K.Fukumizu
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 23 Pages: 1-54
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Learning Causal Relationships from Conditional Moment Restrictions by Importance Weighting2022
- Author(s)
  M.Kato, M.Imaizumi, K.McAlinn, S.Yasui, H.Kakehi
- Journal Title
  
  International Conference on Learning Representations
  
  Volume: -
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] In Estimating Functions with Singularity on Hypersurfaces and Advantages of Deep Neural Networks2022
- Author(s)
  今泉允聡
- Journal Title
  
  Journal of the Japan Statistical Society, Japanese Issue
  
  Volume: 52 Issue: 1 Pages: 33-51
- DOI
  10.11329/jjssj.52.33
- ISSN
  0389-5602, 2189-1478
- Year and Date
  2022-09-13
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces2022
- Author(s)
  Masaaki Imaizumi, Kenji Fukumizu
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 23 Pages: 1-54
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Inference for Projection-Based Wasserstein Distances on Finite Spaces2022
- Author(s)
  Ryo Okano, Masaaki Imaizumi
- Journal Title
  
  Statistica Sinica
  
  Volume: to appear
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Fast Convergence on Perfect Classification for Functional Data2022
- Author(s)
  Tomoya Wakayama, Masaaki Imaizumi
- Journal Title
  
  Statistica Sinica
  
  Volume: to appear
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces2021
- Author(s)
  A.Sannai, M.Imaizumi, M.Kawano
- Journal Title
  
  PMLR: Uncertainty on Artificial Intelligence
  
  Volume: 161 Pages: 771-780
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K11780
[Journal Article] 深層学習の原理解析：汎化誤差の側面から2021
- Author(s)
  今泉允聡
- Journal Title
  
  日本統計学会誌
  
  Volume: 50 Pages: 257-283
- NAID
  130007995094
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] Frechet Kernels for Trajectory Data Analysis2021
- Author(s)
  Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Keisuke Fujii, Masakazu Ishihata, Takuya Maekawa, Ken Yoda & Yasuo Tabei
- Journal Title
  
  In Proceedings of 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021)
  
  Volume: - Pages: 221-224
- DOI
  10.1145/3474717.3483949
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-ORGANIZER-21H05293, KAKENHI-PROJECT-20H04075, KAKENHI-PROJECT-21K11780, KAKENHI-PLANNED-21H05300
[Journal Article] Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality2020
- Author(s)
  Ryumei Nakada. Masaaki Imaizumi
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 21 Pages: 1-38
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K19793
[Journal Article] On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis2020
- Author(s)
  Kohei.Hayashi. Masaaki.Imaizumi. Yuichi Yoshida
- Journal Title
  
  Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR
  
  Volume: 108 Pages: 2055-2065
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K19793
[Journal Article] On Random Subsampling of Gaussian Process Regression2020
- Author(s)
  Kohei.Hayashi. Masaaki.Imaizumi. Yuichi Yoshida
- Journal Title
  
  PMLR: Artificial Intelligence and Statistics
  
  Volume: 108 Pages: 2055-2065
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality2020
- Author(s)
  Ryumei Nakada. Masaaki Imaizumi
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 21 Pages: 1-38
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis2020
- Author(s)
  K.Hayashi, M.Imaizumi, Y,Yoshida
- Journal Title
  
  Proceedings of Machine Learning Research (AI & Statistics)
  
  Volume: To appear
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] A simple method to construct confidence bands in functional linear regression2019
- Author(s)
  Masaaki Imaizumi, Kengo Kato
- Journal Title
  
  Statistica Sinica
  
  Volume: 印刷中
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] Deep Neural Networks Learn Non-Smooth Functions Effectively2019
- Author(s)
  M.Imaizumi, K.Fukumizu
- Journal Title
  
  Proceedings of Machine Learning Research (AI & Statistics)
  
  Volume: 84 Pages: 869-878
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] A simple method to construct confidence bands in functional linear regression2019
- Author(s)
  Masaaki Imaizumi and Kengo Kato
- Journal Title
  
  Statistica Sinica
  
  Volume: *
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K19793
[Journal Article] PCA-based estimation for functional linear regression with functional responses2018
- Author(s)
  Imaizumi Masaaki、Kato Kengo
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 163 Pages: 15-36
- DOI
  10.1016/j.jmva.2017.10.001
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17J03208, KAKENHI-PROJECT-15K03392
[Journal Article] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  Masaaki Imaizumi, Kenji Fukumizu
- Journal Title
  
  2018年度統計関連学会連合大会講演予稿集
  
  Volume: -
- Data Source
  KAKENHI-PROJECT-18K18114
[Journal Article] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  今泉允聡、福水健次
- Journal Title
  
  2018年度統計関連学会連合大会講演予稿集
  
  Volume: ?
- Data Source
  KAKENHI-PROJECT-18K19793
[Journal Article] tatistically Efficient Estimation for Non-Smooth Probability Densities2018
- Author(s)
  Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
- Journal Title
  
  Journal of Machine Learning Research Workshop & Conference Proceedings
  
  Volume: 84 Pages: 978-987
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17J03208
[Journal Article] Statistically Efficient Estimation for Non-Smooth Probability Densities2018
- Author(s)
  Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
- Journal Title
  
  Proceedings of Machine Learning Research Workshop & Conference Proceedings (AISTATS 2018)
  
  Volume: 84 Pages: 978-987
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K19793
[Journal Article] Tensor Decomposition with Smoothness2017
- Author(s)
  Masaaki Imaizumi, Kohei Hayashi
- Journal Title
  
  Journal of Machine Learning Research Workshop & Conference Proceedings
  
  Volume: 70 Pages: 1597-1606
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17J03208
[Journal Article] Factorized Asymptotic Bayesian Policy Search for POMDPs2017
- Author(s)
  Imaizumi Masaaki、Fujimaki Ryohei
- Journal Title
  
  Proceedings of Joint Conference on Artificial Intelligence
  
  Volume: 26 Pages: 4346-4352
- DOI
  10.24963/ijcai.2017/607
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17J03208
[Journal Article] On Tensor Train Rank Minimization: Statistical Efficiency and Scalable Algorithm2017
- Author(s)
  Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
- Journal Title
  
  Advances in Neural Information and Processing Systems
  
  Volume: 30
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] 深層学習と過剰パラメータの理論2024
- Author(s)
  今泉允聡
- Organizer
  総合研究大学院大学葉山セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] ワッサースタイン空間における測地線主成分分析を用いた確率分布のクラスタリング2024
- Author(s)
  岡野遼,今泉允聡
- Organizer
  第18回日本統計学会春季集会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 汎用基盤技術研究グループパネルディスカッション2024
- Author(s)
  今泉允聡
- Organizer
  AIPシンポジウム 2023年度成果報告会
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論2024
- Author(s)
  今泉允聡
- Organizer
  計算物理春の学校2024
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] High-dimensional Contextual Bandit Problem without Sparsity2024
- Author(s)
  Junpei Komiyama, Masaaki Imaizumi
- Organizer
  Neural Information Processing Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 現代的データ科学の数理：新しい高次元統計とインコンテキスト学習の統計理論2024
- Author(s)
  今泉允聡
- Organizer
  九州大学数学科統計科学セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Introduction to Theory of Deep Learning2024
- Author(s)
  Masaaki Imaizumi
- Organizer
  The Machine Learning Summer School in Okinawa 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Statistical Analysis on Generalization Ability of In-Context Learning2024
- Author(s)
  Masaaki Imaizumi
- Organizer
  The Mathematics of Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Statistical Analysis on Generalization Ability of In-Context Learning2024
- Author(s)
  Masaaki Imaizumi
- Organizer
  Institute of Statistical Mathematics Asia Pasific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Statistics for Modern Data Science: Statistical Analysis on Overparameterized Models and In-Context Learning2024
- Author(s)
  Masaaki Imaizumi
- Organizer
  International Conference on Scientific Computing and Machine Learning 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習に関する幾つかの理論研究2024
- Author(s)
  今泉允聡
- Organizer
  第4回TREFOIL研究会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] インコンテキスト学習の統計学的解析2024
- Author(s)
  今泉允聡
- Organizer
  フォレストワークショップ2024
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Statistical Analysis on Overparameterized Models and In-Context Learning2024
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 現代的データ科学の数理：新しい高次元統計とインコンテキスト学習の統計理論2024
- Author(s)
  今泉允聡
- Organizer
  東京大学数理情報学談話会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論、人工知能の理解への試み2024
- Author(s)
  今泉允聡
- Organizer
  情報計測オンラインセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] インコンテキスト学習の統計学的解析2024
- Author(s)
  今泉允聡
- Organizer
  統計科学・機械学習・情報数学の最前線
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Deep Learning: Theory, Applications, and Implications2024
- Author(s)
  Masaaki Imaizumi
- Organizer
  Deep Learning: Theory, Applications, and Implications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 確率過程サンプリングと動力学計算の融合による非線形力学系のランドスケープ解析2024
- Author(s)
  仲田資季,今泉允聡
- Organizer
  日本応用数理学会第20回研究部会連合発表会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 非対称リンクをもつ高次元一般化線形モデルの統計的推論2023
- Author(s)
  澤谷一磨,植松良公,今泉允聡
- Organizer
  2024年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Augmented Projection Wasserstein 距離2023
- Author(s)
  杉本実優,今泉允聡,岡野遼
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] ゼロから作る深層学習理論2023
- Author(s)
  今泉允聡
- Organizer
  IBIS2023チュートリアル
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 最適腕識別：適応的実験計画による方策選択2023
- Author(s)
  加藤真大,今泉允聡,石原卓弥,北川透
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習・人工知能の原理に迫る理論の試み2023
- Author(s)
  今泉允聡
- Organizer
  日本地震学会春季大会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Synthetic control methods through predictive synthesis2023
- Author(s)
  M. Kato,A. Fukuda,K. Takanashi,K. McAlinn,A. Ohda,M. Imaizumi
- Organizer
  Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論2023
- Author(s)
  今泉允聡
- Organizer
  物理屋のための機械学習講義
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理に迫る -数学の挑戦-2023
- Author(s)
  Masaaki Imaizumi
- Organizer
  京都大学理学部第22回MACSコロキウム
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] A dimension-free concentration inequality for sums of random matrices under dependence2023
- Author(s)
  仲北祥悟,Alquier Pierre,今泉允聡
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Sup-norm convergence of deep network estimator for nonparametric regression with corrected adversarial training2023
- Author(s)
  Masaaki Imaizumi
- Organizer
  Korian Statistical Society
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 非スパースな高次元文脈付きバンディット問題2023
- Author(s)
  小宮山純平,今泉允聡
- Organizer
  IBIS2023
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 量子化回帰モデルの汎化誤差解析2023
- Author(s)
  柏村周平,坂田綾香,今泉允聡
- Organizer
  IBIS2023
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Non-sparse high-dimensional statistics and its applications2023
- Author(s)
  Masaaki Imaizumi
- Organizer
  International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 外れ値を含んだデータにおけるSGDの大域収束性について2023
- Author(s)
  吉田直生,今泉允聡,仲北祥悟
- Organizer
  IBIS2023
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 確率分布のクラスタリング2023
- Author(s)
  岡野遼,今泉允聡
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理に迫る ──数学の挑戦──2023
- Author(s)
  今泉允聡
- Organizer
  高校生と大学生のための金曜特別講座
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 量子化回帰モデルの統計力学的解析2023
- Author(s)
  柏村周平,坂田綾香,今泉允聡
- Organizer
  日本物理学会第78回年次大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] ワッサースタイン計量の下での多変量ガウス分布間の回帰モデル2023
- Author(s)
  岡野遼,今泉允聡
- Organizer
  IBIS2023
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論2023
- Author(s)
  今泉允聡
- Organizer
  東京大学大学院数理科学研究科／情報理工学系研究科数値解析セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Dimension-free concentration inequalities for sums of weakly dependent random matrices2023
- Author(s)
  仲北祥悟,Pierre Alquier,今泉允聡
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 高次元線形回帰モデルのもとでの条件付き平均処置効果の推定2023
- Author(s)
  加藤真大,今泉允聡
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論2023
- Author(s)
  今泉允聡
- Organizer
  固体地球科学データ同化/データ駆動型地球科学に関する研究会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] DEEP LEARNING: Theory, Algorithms, and Applications 20232023
- Author(s)
  Masaaki Imaizumi
- Organizer
  Sup-norm convergence of deep network estimator for nonparametric regression with corrected adversarial training
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Estimation of single index models in moderately high dimension2023
- Author(s)
  Kazuma Sawaya,Yoshimasa Uematsu,Masaaki Imaizumi
- Organizer
  Econometric and Statistics
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] グラフニューラルネットワークとデータ同化を統合したデータ駆動型避難者分布予測手法の検証2023
- Author(s)
  樫山武浩，沖拓弥，小川芳樹，今泉允聡，大山雄己
- Organizer
  2023年度人工知能学会全国大会（第37回）
- Data Source
  KAKENHI-PROJECT-19K04946
[Presentation] 深層学習と過剰パラメータの理論2023
- Author(s)
  今泉允聡
- Organizer
  創発的研究支援事業融合の場
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] On Generalization Bounds for Deep Networks based on Loss Surface Implicit Regularization2023
- Author(s)
  Masaaki Imaizumi
- Organizer
  Latin American Congress of Probability and Mathematical Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Sup-norm convergence of deep network estimator for nonparametric regression with corrected adversarial training2022
- Author(s)
  M.Imaizumi
- Organizer
  CMStatistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Semiparametric Contextual Best Arm Identification with a Fixed Budget2022
- Author(s)
  加藤真大, 今泉允聡, 石原卓弥, 北川透
- Organizer
  IBIS2022
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論2022
- Author(s)
  今泉允聡
- Organizer
  フォレストワークショップ2023
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Theory of Deep Learning and Overparmeterization2022
- Author(s)
  M.Imaizumi
- Organizer
  Online Asian Machine Learning School, Asian Conference on Machine Learning
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Benign Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression2022
- Author(s)
  Masahiro Kato, Masaaki Imaizumi
- Organizer
  Workshop on the Theory of Overparameterized Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Benign Overfitting in Overparameterized Time Series Models2022
- Author(s)
  Shogo Nakakita, Masaaki Imaizumi
- Organizer
  Workshop on the Theory of Overparameterized Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理に挑む理論の試み2022
- Author(s)
  今泉允聡
- Organizer
  第46回IBISML研究会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Why does SGD prefer flat minima?: Through the lens of dynamical systems2022
- Author(s)
  Hikaru Ibayashi, Masaaki Imaizumi
- Organizer
  AAAI When Machine Learning meets Dynamical Systems: Theory and Applications
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension2022
- Author(s)
  M.Imaizumi
- Organizer
  EcoSta
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] フィルターが小さい深層CNNの最適近似レート2022
- Author(s)
  佐藤佑真、今泉允聡
- Organizer
  情報論的学習理論と機械学習研究会（IBISML）
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 操作変数による非スパース高次元な線形回帰モデルの良性過適合2022
- Author(s)
  津田俊樹、今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 非スパースな高次元漸近論の理論と応用2022
- Author(s)
  今泉允聡
- Organizer
  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～
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] High-dimensional asymptotics for single-index models via approximate message passing2022
- Author(s)
  Y. Uematsu, K. Sawaya, M. Imaizumi
- Organizer
  CMStatistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Stability of Deep Network Estimator for Nonparametric Regression2022
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Dynamics of Deep Neural Network: A Functional and Diffusion Process Approach2022
- Author(s)
  西澤渉, 今泉允聡
- Organizer
  IBIS2022
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] メカニズムとの学際的統合による新しい分散学習理論基盤の構築2022
- Author(s)
  今泉允聡
- Organizer
  IPSJ連続セミナー2022「その先へ　情報技術が貢献できること」
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] High-Dimensional Asymptotics of Semiparametric Generalized Linear Models via Approximate Message Passing2022
- Author(s)
  澤谷一磨、植松良公、今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Best Arm Identification with a Fixed Budget under a Small Gap2022
- Author(s)
  M.Kato, K.Ariu, M.Imaizumi, M.Uehara, M.Nomura
- Organizer
  2023 ASA Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 補正付敵対的訓練による深層ニューラルネットワーク推定量のSupノルム収束2022
- Author(s)
  今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Benign overfitting in stochastic regression2022
- Author(s)
  S.Nakakita, M.Imaizumi
- Organizer
  EcoSta
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理を明らかにする理論の試み2022
- Author(s)
  今泉允聡
- Organizer
  電子情報通信学会Webinarチュートリアルシリーズ
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Benign-Overfitting of Overparameterized Bayesian Linear Regression2022
- Author(s)
  若山智哉、今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 高次元ガウス近似によるWasserstein距離推定の不確実性評価2022
- Author(s)
  今泉允聡
- Organizer
  Workshop OT 2023
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 多変量ガウス分布間回帰2022
- Author(s)
  岡野遼、今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Exponential escape efficiency of SGD from sharp minima2022
- Author(s)
  H. Ibayashi, M. Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] High-Dimensional Estimators: Universality and Non-Linearity2022
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理を明らかにする理論の試み2022
- Author(s)
  Masaaki Imaizumi
- Organizer
  JFFoS
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理記述に向けた構造汎化理論スキームの開発2022
- Author(s)
  今泉允聡
- Organizer
  JST創発的研究支援事業「融合の場」第１回公開シンポジウム
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習と過剰パラメータの理論2022
- Author(s)
  今泉允聡
- Organizer
  国立精神・神経医療研究センターの脳病態数理・データ科学セミナーシリーズ
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Generalization Analysis of Deep Models with Loss Surface and Likelihood Models2021
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K19793
[Presentation] Implicit Regularization and Over-parameterization2021
- Author(s)
  Masaaki Imaizumi
- Organizer
  知の物理学センター
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Generalization Analysis of Deep Models with Loss Surface and Over Parameterization2021
- Author(s)
  Masaaki Imaizumiツ?
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2021
- Author(s)
  今泉允聡
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理を明らかにする理論の試み2021
- Author(s)
  今泉允聡
- Organizer
  中央大学理工学研究所特別講演会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] On Gaussian Approximation on M-Estimator2021
- Author(s)
  Masaaki Imaizumi
- Organizer
  International Chinese Statistical Association
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Minimum sharpness: Scale-invariant parameter-robus…2021
- Author(s)
  H.Ibayashi, T.Hamaguchi, M.Imaizumi
- Organizer
  ICML Workshop on Theoretic Foundation, Criticism, …
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理を明らかにする理論の試み2021
- Author(s)
  今泉允聡
- Organizer
  顕微鏡計測インフォマティックス部会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2021
- Author(s)
  今泉允聡
- Organizer
  細谷賞セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の理論2021
- Author(s)
  今泉允聡
- Organizer
  松尾研セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] グラフニューラルネットワークとデータ同化を統合したデータ駆動型避難者分布予測モデルの構築2021
- Author(s)
  高崎弾・小川芳樹・今泉允聡・沖拓弥・大山雄己
- Organizer
  人工知能学会全国大会論文集（第35回全国大会）
- Data Source
  KAKENHI-PROJECT-19K04946
[Presentation] Gradient Descent Algorithm with Path Kernel-based …2021
- Author(s)
  西澤　渉, 今泉允聡
- Organizer
  IBIS2021
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 関数推定の理論に基づく深層学習の原理解析2021
- Author(s)
  今泉允聡
- Organizer
  微分方程式とデータサイエンス研究会
- Invited
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] AIの原理を解き明かす新理論2021
- Author(s)
  今泉允聡
- Organizer
  JST理事長記者会見
- Data Source
  KAKENHI-PROJECT-21K11780
[Presentation] 深層学習の原理の理解に向けた理論の試み2020
- Author(s)
  今泉允聡
- Organizer
  諸科学における大規模データと統計数理モデリング
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の発見からもたらされる基礎理論のパラダイム2020
- Author(s)
  今泉允聡
- Organizer
  東大情報理工コンピュータ専攻講演会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical inference on M-estimators by high-dimensional Gaussian approximation2020
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence 2020
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical inference on M-estimators by high-dimensional Gaussian approximation2020
- Author(s)
  Masaaki Imaizumiツ?
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2020
- Author(s)
  今泉允聡
- Organizer
  九大IMI特別セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2020
- Author(s)
  今泉允聡
- Organizer
  MLSE夏合宿
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理の理解に向けた理論の試み2020
- Author(s)
  今泉允聡
- Organizer
  諸科学における大規模データと統計数理モデリング
- Invited
- Data Source
  KAKENHI-PROJECT-18K19793
[Presentation] 損失関数の形状に基づく深層学習の汎化誤差解析2020
- Author(s)
  今泉允聡
- Organizer
  RAMP（OR学会分科会）
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Fast Convergence on Perfect Classification for Functional Data2020
- Author(s)
  Tomoya Wakayama. Masaaki Imaizumi
- Organizer
  CM-Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2020
- Author(s)
  今泉允聡
- Organizer
  大阪大学MMDS AI・データ利活用研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Inference on M-estimators by High-dimensional Gaussian Approximation2020
- Author(s)
  今泉允聡
- Organizer
  東北大学データサイエンスセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Fast convergence on perfect classification for functional data2020
- Author(s)
  Tomoya Wakayama. Masaaki Imaizumi
- Organizer
  Computational and Methodological Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K19793
[Presentation] On Random Subsampling of Gaussian Process Regression2020
- Author(s)
  K.Hayashi. M.Imaizumi. Y.Yoshida
- Organizer
  Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Theory of Deep Learning2020
- Author(s)
  今泉允聡
- Organizer
  奈良先端科学技術大学データサイエンス特別講義
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 大規模モデルの複雑性尺度と情報量規準2020
- Author(s)
  今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning2020
- Author(s)
  Masaaki Imaizumi
- Organizer
  Seoul National University Seminar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 損失形状に基づく深層学習の汎化誤差解析2020
- Author(s)
  今泉允聡
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning by Statistics and Learning Theory2020
- Author(s)
  Masaaki Imaizumi
- Organizer
  Seoul National University Seminar
- Invited
- Data Source
  KAKENHI-PROJECT-18K19793
[Presentation] 深層学習の原理を明らかにする理論の試み2020
- Author(s)
  今泉允聡
- Organizer
  ビッグデータCREST合宿
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の理論2020
- Author(s)
  今泉允聡
- Organizer
  東大松尾研
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の高速化にむけた適応ネットワークの数学的発見と学習法開発2019
- Author(s)
  今泉允聡
- Organizer
  情報系WinterFesta
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2019
- Author(s)
  今泉允聡
- Organizer
  ビッグデータCREST合宿
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2019
- Author(s)
  今泉允聡
- Organizer
  松尾研セミナー
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習による関数推定と特異性2019
- Author(s)
  今泉允聡
- Organizer
  京都大学RIMS共同研究集会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Inference on M-estimators by High-dimensional Gaussian Approximation2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  東北大学データサイエンスセミナー
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2019
- Author(s)
  今泉允聡
- Organizer
  九大IMI特別セミナー
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning via Nonparametric Statistics2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  International Chinese Statistical Association
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Inference on level sets in functional linear regression2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Analysis for Deep Learning by Function Estimation Theory2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  ISI-ISM-ISSAS Joint Conference 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Neural Networks via Nonparametric Statistics2019
- Author(s)
  今泉允聡
- Organizer
  理研AIP数学セミナー
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  IMS-China International Conference on Statistics and Probability
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical inference on M-estimators by high-dimensional Gaussian approximation2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  CM-Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning by Statistics and Learning Theory2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  Seoul National University Seminar
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習入門2019
- Author(s)
  今泉允聡
- Organizer
  IBIS2020 チュートリアル
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 層学習の原理を明らかにする理論の試み2019
- Author(s)
  今泉允聡
- Organizer
  統計数理研究所オープンハウス
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning via Nonparametric Statistics2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  Third International Workshop on Symbolic-Neural Learning (SNL-2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning by Statistics and Learning Theory2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  Penn State University Seminar
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 高次元ガウス近似によるM推定量の統計的推論2019
- Author(s)
  今泉允聡
- Organizer
  日本統計学会春季集会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2019
- Author(s)
  今泉允聡
- Organizer
  AIMaP若手数学者交流会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習・関数データ・高次元ガウス近似2019
- Author(s)
  今泉允聡
- Organizer
  Overfit Summer Seminar
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Generalization Analysis for Mechanism of Deep Learning via Nonparametric Statistics2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  International Statistical Institute World Statistics Congress 2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の高速化にむけた適応ネットワークの数学的発見と学習法開発2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  さきがけ領域会議
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 統計理論によるGANの原理解析2019
- Author(s)
  今泉允聡
- Organizer
  Preferred Networks セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Inference on M-estimators by High-dimensional Gaussian Approximation2019
- Author(s)
  今泉允聡
- Organizer
  日本統計学会春季集会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Analysis for Generative Adversarial Networks2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の高速化にむけた適応ネットワークの数学的発見と学習法開発2019
- Author(s)
  今泉允聡
- Organizer
  さきがけ領域会議
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の原理を明らかにする理論の試み2019
- Author(s)
  今泉允聡
- Organizer
  大阪大学MMDS AI・データ利活用研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 深層学習の理論2019
- Author(s)
  今泉允聡
- Organizer
  IBIS2020 企画セッション
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Estimation for Non-Smooth Functions by Deep Neural Networks2019
- Author(s)
  Masaaki Imaizumi
- Organizer
  Joint Statistical Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数推定の理論による深層学習の原理解析2018
- Author(s)
  今泉允聡
- Organizer
  RIMS共同研究「高度情報化社会に向けた数理最適化の新潮流」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 汎化誤差評価によるGANの理論解析2018
- Author(s)
  今泉允聡
- Organizer
  IBIS2018
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Estimation for Non-Smooth Functions by Deep Neural Network2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Deep Learning: Theory, Algorithms, and Applications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  Statistics Seminar, Mathematical Institute, Leiden University
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数推定の理論による深層学習の原理解析2018
- Author(s)
  今泉允聡
- Organizer
  統計・機械学習若手シンポジウム「統計・機械学習の交わりと拡がり」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Inference on active domains of functional data via functional linear regression2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  Computational and Methodological Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  Masaaki Imaizumi and Kenji Fukumizu
- Organizer
  ICML 2018 Workshop on Theory of Deep Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K19793
[Presentation] Szemeredi分割による非滑らかな密度関数の推定2018
- Author(s)
  今泉允聡
- Organizer
  統計数理セミナー
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数推定の理論による深層学習の原理解析2018
- Author(s)
  今泉允聡
- Organizer
  応用数理学会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Estimation for Non-Smooth Functions by Deep Neural Networks2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] A simple method to construct confidence bands in functional linear regression2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  Econometrics and Statistics 2018
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Estimation for Non-Smooth Functions with the Regularity Lemma2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  Discrete Optimization and Machine Learning Workshop
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数データ回帰の信頼バンド構成法2018
- Author(s)
  今泉允聡, 加藤賢悟
- Organizer
  科研費シンポジウム「生命・自然科学における複雑現象解明のための統計的アプローチ」
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] 深層学習の概要とその理論研究の現状について2018
- Author(s)
  今泉允聡
- Organizer
  SICE制御部門データ科学とリンクした次世代の適応学習制御調査研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  ICML 2018 Workshop on Theory of Deep Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数推定の理論による深層学習の原理解析2018
- Author(s)
  今泉允聡
- Organizer
  生命医薬情報学連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数推定の理論による深層学習の原理解析2018
- Author(s)
  今泉允聡
- Organizer
  数学と諸分野の連携にむけた若手数学者交流会
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Statistical Estimation for Non-Smooth Functions by Deep Neural Network2018
- Author(s)
  Masaaki Imaizumi
- Organizer
  AIP-IIS-MLGT Workshop 2018
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] 深層学習による非滑らかな関数の推定2018
- Author(s)
  今泉允聡
- Organizer
  統計数理セミナー
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] 非滑らかな確率密度推定の統計理論的解析2018
- Author(s)
  今泉允聡
- Organizer
  IBIS2018
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 関数データ回帰の信頼バンド構成法2018
- Author(s)
  今泉允聡
- Organizer
  Overfit Summer Seminar
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] Deep Neural Networks Learn Non-Smooth Functions Effectively2018
- Author(s)
  今泉允聡
- Organizer
  Deep Neural Networks Learn Non-Smooth Functions Effectively
- Invited
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 汎化誤差評価によるGANの理論解析2018
- Author(s)
  今泉允聡、福水健次
- Organizer
  第21回情報論的学習理論ワークショップ (IBIS 2018)
- Invited
- Data Source
  KAKENHI-PROJECT-18K19793
[Presentation] Statistically Efficient Estimation for Non-Smooth Probability Densities2018
- Author(s)
  今泉允聡
- Organizer
  The 21st International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18114
[Presentation] 埋め込み距離によるノンパラメトリック多様体回帰（Nonparametric Regression for Manifold Data via Embedding Distance）2017
- Author(s)
  今泉允聡, 矢野恵佑
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] A simple method to construct confidence bands in functional linear regression2017
- Author(s)
  Masaaki Imaizumi, Kengo Kato
- Organizer
  Joint Meeting of 10th Asian Regional Section of the International Association for Statistical Computing and the NZ Statistical Association
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] ノンパラメトリック被覆木2017
- Author(s)
  今泉允聡, Manohar Kaul
- Organizer
  IBIS2017
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] 深層学習による非滑らかな関数の推定2017
- Author(s)
  今泉允聡
- Organizer
  情報系Winter Festa
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] Tensor Decomposition with Smoothness2017
- Author(s)
  Masaaki Imaizumi, Kohei Hayashi
- Organizer
  The International Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] Tensor Decomposition with Smoothness2017
- Author(s)
  Masaaki Imaizumi, Kohei Hayashi
- Organizer
  Seminar in Data61
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] On Tensor Train Rank Minimization: Statistical Efficiency and Scalable Algorithm2017
- Author(s)
  Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
- Organizer
  Neural Information and Processing Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] Selection for Manifold Regression2017
- Author(s)
  Masaaki Imaizumi
- Organizer
  ISI-ISM-ISSAS Joint Conference Tokyo 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] Factorized Asymptotic Bayesian Policy Search for POMDPs2017
- Author(s)
  Masaaki Imaizumi, Ryohei Fujimaki
- Organizer
  27th International Joint Conference of Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17J03208
[Presentation] Tensor Decomposition with Smoothness2017
- Author(s)
  今泉允聡, 林浩平
- Organizer
  河原林ERATO感謝祭
- Data Source
  KAKENHI-PROJECT-17J03208

1. Fukumizu Kenji (60311362)

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21. 藤井慶輔

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# of Collaborated Products: 1 results

Imaizumi Masaaki 今泉 允聡

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Theoretical development of non-sparse high-dimensional statistics for statistical understanding and utilization of large-degree-of-freedom modelsPrincipal Investigator

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Machine-Learning-Reinforced Cosmic Structure Formation: From Large-Scale Structure Formation to Galaxy Evolution

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新たな複雑系データのための関数データ解析手法の開発と適用

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Developing a non-asymptotic inference theory for scientific hypothesis testing with statistical deep modellingPrincipal Investigator

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Development of real-time evacuee distribution estimation technology for major earthquakes by assimilating observed big data

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Advance of artificial intelligence by theoretical investigation of deep learning

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Development of Function Estimation Theory to Investigate the Principles of Deep LearningPrincipal Investigator

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Kernel Method and Bayes Estimation for Flexible Structural ModelsPrincipal Investigator

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[Book] 人工知能とどうつきあうか: 哲学から考える2023

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[Book] 応用基礎としてのデータサイエンス AI×データ活用の実践2023

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[Book] ニューラルネットワークとディープラーニング2022

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[Book] 深層学習の原理に迫る2021

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[Journal Article] Uniform confidence band for optimal transport map on one-dimensional data2024

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Imaizumi Masaaki 今泉允聡

[Book] 応用基礎としてのデータサイエンス　AI×データ活用の実践2023