Personal information

Websites & social links

https://sites.google.com/site/hiroyukisatoeng/

Other IDs

Scopus Author ID: 57222252244
Researcher Name Resolver ID: 1000080734433

Countries

Japan

Activities

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Employment (4)

Ritsumeikan University: Kusatsu, JP

2024-04-01 to present | Associate Professor (Department of Mathematical Sciences)
Employment
Source: Self-asserted source
Hiroyuki Sato

Kyoto University: Kyoto, JP

2018-12-01 to 2024-03-31 | Associate Professor (Graduate School of Informatics)
Employment
Source: Self-asserted source
Hiroyuki Sato

Kyoto University: Kyoto, JP

2017-10-01 to 2018-11-30 | Assistant Professor (The Hakubi Center for Advanced Research/Graduate School of Informatics)
Employment
Source: Self-asserted source
Hiroyuki Sato

Tokyo University of Science: Tokyo, JP

2014-04-01 to 2017-09-30 | Assistant Professor (Faculty of Engineering)
Employment
Source: Self-asserted source
Hiroyuki Sato

Education and qualifications (3)

Kyoto University: Kyoto, JP

2011-04 to 2013-11 | Doctor of Informatics (Department of Applied Mathematics and Physics)
Education
Source: Self-asserted source
Hiroyuki Sato

Kyoto University: Kyoto, JP

2009-04 to 2011-03 | Master of Informatics (Department of Applied Mathematics and Physics)
Education
Source: Self-asserted source
Hiroyuki Sato

Kyoto University: Kyoto, JP

2005-04 to 2009-03 | Bachelor of Engineering (Undergraduate School of Informatics and Mathematical Science)
Education
Source: Self-asserted source
Hiroyuki Sato

Funding (5)

大規模行列方程式に対するクリロフ部分空間法の躍進とリーマニアン最適化への応用

2021-04-01 to 2024-03-31 | Grant
Japan Society for the Promotion of Science (Tokyo, JP)
URL: https://app.dimensions.ai/details/grant/grant.9687006
GRANT_NUMBER: 21K11925
Source: Self-asserted source
Hiroyuki Sato via DimensionsWizard

リーマン多様体上の最適化理論の展開とその大規模問題への応用

2020-04-01 to 2024-03-31 | Grant
Japan Society for the Promotion of Science (Tokyo, JP)
URL: https://app.dimensions.ai/details/grant/grant.9205346
GRANT_NUMBER: 20K14359
Source: Self-asserted source
Hiroyuki Sato via DimensionsWizard

リーマン多様体上の共役勾配法の進展および諸分野における大規模問題への応用

Source: Self-asserted source
Hiroyuki Sato via DimensionsWizard

リーマン多様体上の最適化アルゴリズムおよびその数値線形代数への応用

2013-01-01 to 2013-12-31 | Grant
Japan Society for the Promotion of Science (Tokyo, JP)
URL: https://app.dimensions.ai/details/grant/grant.5808707
GRANT_NUMBER: 13J05977
Source: Self-asserted source
Hiroyuki Sato via DimensionsWizard

リーマン多様体上の最適化アルゴリズムの発展およびその諸分野における問題への応用

Grant
Japan Society for the Promotion of Science (Tokyo, JP)
GRANT_NUMBER: 26887037
Source: Self-asserted source
Hiroyuki Sato
grade
Preferred source (of 2)‎

Works (43)

Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds with retraction and vector transport

Applied Mathematics and Computation
2025-02 | Journal article
DOI: 10.1016/j.amc.2024.129001
Contributors: Kangming Chen; Ellen Hidemi Fukuda; Hiroyuki Sato
Source: check_circle
Crossref

Conjugate Gradient Methods for Optimization Problems on Symplectic Stiefel Manifold

IEEE Control Systems Letters
2023 | Journal article
DOI: 10.1109/LCSYS.2023.3288229
Contributors: Mitsutaka Yamada; Hiroyuki Sato
Source: check_circle
Crossref

Riemannian optimization on unit sphere with p-norm and its applications

Computational Optimization and Applications
2023-07 | Journal article
DOI: 10.1007/s10589-023-00477-0
Contributors: Hiroyuki Sato
Source: check_circle
Crossref

Global convergence of Hager–Zhang type Riemannian conjugate gradient method

Applied Mathematics and Computation
2023-03 | Journal article
DOI: 10.1016/j.amc.2022.127685
Contributors: Hiroyuki Sakai; Hiroyuki Sato; Hideaki Iiduka
Source: check_circle
Crossref

Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses

SIAM Journal on Optimization
2022-12 | Journal article
DOI: 10.1137/21M1464178
Contributors: Hiroyuki Sato
Source: check_circle
Crossref

Topic model-based recommender systems and their applications to cold-start problems

Expert Systems with Applications
2022-09 | Journal article
DOI: 10.1016/j.eswa.2022.117129
Contributors: Mimu Kawai; Hiroyuki Sato; Takayuki Shiohama
Source: check_circle
Crossref

Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method

Computational Optimization and Applications
2022-03 | Journal article
DOI: 10.1007/s10589-021-00336-w
Contributors: Yuya Yamakawa; Hiroyuki Sato
Source: check_circle
Crossref

Applications of Riemannian Optimization

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
DOI: 10.1007/978-3-030-62391-3_5
EID:

2-s2.0-85102042933

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Conjugate Gradient Methods on Riemannian Manifolds

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
DOI: 10.1007/978-3-030-62391-3_4
EID:

2-s2.0-85102061479

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Introduction

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
DOI: 10.1007/978-3-030-62391-3_1
EID:

2-s2.0-85102052258

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Preface

SpringerBriefs in Control, Automation and Robotics
2021 | Book
EID:

2-s2.0-85102025992

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Preliminaries and Overview of Euclidean Optimization

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
DOI: 10.1007/978-3-030-62391-3_2
EID:

2-s2.0-85102080426

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Recent Developments in Riemannian Optimization

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
DOI: 10.1007/978-3-030-62391-3_6
EID:

2-s2.0-85102055032

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Riemannian conjugate gradient methods: General framework and specific algorithms with convergence analyses

arXiv
2021 | Other
EID:

2-s2.0-85121412056

Part of ISSN: 23318422
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Riemannian optimization and its applications

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
EID:

2-s2.0-85102052088

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Unconstrained Optimization on Riemannian Manifolds

SpringerBriefs in Control, Automation and Robotics
2021 | Book chapter
DOI: 10.1007/978-3-030-62391-3_3
EID:

2-s2.0-85102048264

Part of ISSN: 21926794 21926786
Contributors: Sato, H.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds

Advances in Computational Mathematics
2021-08 | Journal article
DOI: 10.1007/s10444-021-09880-9
Part of ISSN: 1019-7168
Part of ISSN: 1572-9044
Source: Self-asserted source
Hiroyuki Sato

Approximated logarithmic maps on Riemannian manifolds and their applications

JSIAM Letters
2021-04 | Journal article
DOI: 10.14495/jsiaml.13.17
Part of ISSN: 1883-0609
Part of ISSN: 1883-0617
Source: Self-asserted source
Hiroyuki Sato

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

Genome Biology
2020-12 | Journal article
DOI: 10.1186/s13059-019-1900-3
Contributors: Koki Tsuyuzaki; Hiroyuki Sato; Kenta Sato; Itoshi Nikaido
Source: check_circle
Crossref
grade
Preferred source (of 3)‎

Riemannian conjugate gradient methods with inverse retraction

Computational Optimization and Applications
2020-12 | Journal article
DOI: 10.1007/s10589-020-00219-6
Part of ISSN: 0926-6003
Part of ISSN: 1573-2894
Source: Self-asserted source
Hiroyuki Sato

Riemannian Optimal Identification Method for Linear Systems With Symmetric Positive-Definite Matrix

IEEE Transactions on Automatic Control
2020-11 | Journal article
DOI: 10.1109/TAC.2019.2957350
Contributors: Kazuhiro Sato; Hiroyuki Sato; Tobias Damm
Source: check_circle
Crossref

Riemannian Gradient-Based Online Identification Method for Linear Systems with Symmetric Positive-Definite Matrix

2019 IEEE 58th Conference on Decision and Control (CDC)
2019-12 | Conference paper
DOI: 10.1109/cdc40024.2019.9030228
Source: Self-asserted source
Hiroyuki Sato

Cholesky QR-based retraction on the generalized Stiefel manifold

Computational Optimization and Applications
2019-03-22 | Journal article
DOI: 10.1007/s10589-018-0046-7
Contributors: Hiroyuki Sato; Kensuke Aihara
Source: check_circle
Crossref

Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport

SIAM Journal on Optimization
2019-01 | Journal article
DOI: 10.1137/17M1116787
Contributors: Hiroyuki Sato; Hiroyuki Kasai; Bamdev Mishra
Source: check_circle
Crossref

Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis

International Conference on Artificial Intelligence and Statistics, AISTATS 2018
2018 | Conference paper
EID:

2-s2.0-85057260968
Contributors: Kasai, H.; Sato, H.; Mishra, B.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

Riemannian Stochastic recursive gradient algorithm with retraction and vector transport and its convergence analysis

35th International Conference on Machine Learning, ICML 2018
2018 | Conference paper
EID:

2-s2.0-85057248675
Contributors: Kasai, H.; Sato, H.; Mishra, B.
Source: Self-asserted source
Hiroyuki Sato via Scopus - Elsevier

グラスマン多様体上の商構造を用いたニュートン法

日本応用数理学会論文誌
2018 | Journal article
DOI: 10.11540/jsiamt.28.4_205
Part of ISSN: 24240982
Source: Self-asserted source
Hiroyuki Sato

Practically Feasible Recommender Systems for Cold Start Problems

2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)
2018-12 | Conference paper
DOI: 10.1109/apwconcse.2018.00025
Source: Self-asserted source
Hiroyuki Sato

Structure-Preserving $H^2$ Optimal Model Reduction Based on the Riemannian Trust-Region Method

IEEE Transactions on Automatic Control
2018-02 | Journal article
DOI: 10.1109/tac.2017.2723259
Part of ISSN: 0018-9286
Contributors: Kazuhiro Sato; Hiroyuki Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search
grade
Preferred source (of 2)‎

Riemannian Optimal System Identification Algorithm for Linear MIMO Systems

IEEE Control Systems Letters
2017-10 | Journal article
DOI: 10.1109/lcsys.2017.2719163
Part of ISSN: 2475-1456
Contributors: Hiroyuki Sato; Kazuhiro Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search
grade
Preferred source (of 2)‎

Riemannian Newton-type methods for joint diagonalization on the Stiefel manifold with application to independent component analysis

Optimization
2017-08 | Journal article
DOI: 10.1080/02331934.2017.1359592
Part of ISSN: 0233-1934
Contributors: Hiroyuki Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

Supervised-Topic-Model-Based Hybrid Filtering for Recommender Systems

2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD)
2017-07 | Conference paper
DOI: 10.1109/acit-csii-bcd.2017.48
Source: Self-asserted source
Hiroyuki Sato

リーマン多様体上の最適化の理論と応用

応用数理
2017-03-24 | Journal article
DOI: 10.11540/bjsiam.27.1_21
Part of ISSN: 24321982
Source: Self-asserted source
Hiroyuki Sato

A New H2 optimal model reduction method based on riemannian conjugate gradient method

2016 IEEE 55th Conference on Decision and Control (CDC)
2016 | Conference paper
DOI: 10.1109/cdc.2016.7799155
Part of ISBN: 9781509018376
Source: Self-asserted source
Hiroyuki Sato
grade
Preferred source (of 2)‎

A matrix-free implementation of Riemannian Newton’s method on the Stiefel manifold

Optimization Letters
2016-10 | Journal article
DOI: 10.1007/s11590-016-1090-9
Part of ISSN: 1862-4472
Contributors: Kensuke Aihara; Hiroyuki Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

Joint singular value decomposition algorithm based on the Riemannian trust-region method

JSIAM Letters
2015 | Journal article
DOI: 10.14495/jsiaml.7.13
Contributors: Hiroyuki Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

Riemannian trust-region methods for H2 optimal model reduction

2015 54th IEEE Conference on Decision and Control (CDC)
2015 | Conference paper
DOI: 10.1109/cdc.2015.7402944
Part of ISBN: 9781479978861
Source: Self-asserted source
Hiroyuki Sato
grade
Preferred source (of 2)‎

A Dai–Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions

Comput Optim Appl
2015-10 | Journal article
DOI: 10.1007/s10589-015-9801-1
Contributors: Hiroyuki Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

Riemannian conjugate gradient method for complex singular value decomposition problem

53rd IEEE Conference on Decision and Control
2014 | Conference paper
DOI: 10.1109/cdc.2014.7040305
Contributors: Hiroyuki Sato
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

Optimization algorithms on the Grassmann manifold with application to matrix eigenvalue problems

Japan J. Indust. Appl. Math.
2014-04-01 | Journal article
DOI: 10.1007/s13160-014-0141-9
Contributors: Hiroyuki Sato; Toshihiro Iwai
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

A complex singular value decomposition algorithm based on the Riemannian Newton method

52nd IEEE Conference on Decision and Control
2013 | Conference paper
DOI: 10.1109/cdc.2013.6760335
Contributors: Hiroyuki Sato; Toshihiro Iwai
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

A new, globally convergent Riemannian conjugate gradient method

Optimization
2013-09 | Journal article
DOI: 10.1080/02331934.2013.836650
Contributors: Hiroyuki Sato; Toshihiro Iwai
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

A Riemannian Optimization Approach to the Matrix Singular Value Decomposition

SIAM J. Optim.
2013-02 | Journal article
DOI: 10.1137/120872887
Contributors: Hiroyuki Sato; Toshihiro Iwai
Source: Self-asserted source
Hiroyuki Sato via Crossref Metadata Search

Peer review (17 reviews for 14 publications/grants)

Review activity for Advances in computational mathematics. (1)
Review activity for Applied mathematics & optimization. (1)
Review activity for Applied numerical mathematics. (2)
Review activity for Calcolo. (1)
Review activity for Computational optimization and applications. (2)
Review activity for Japan journal of industrial and applied mathematics. (2)
Review activity for Journal of scientific computing. (1)
Review activity for Machine learning. (1)
Review activity for Mathematical programming. (1)
Review activity for Numerical algorithms. (1)
Review activity for Optimization letters. (1)
Review activity for SIAM journal on applied dynamical systems. (1)
Review activity for SIAM journal on optimization. (1)
Review activity for SIAM journal on scientific computing. (1)
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