Researcher List Takayuki Okuno Takayuki Okuno (奥野 貴之) Please select the form format to download from below 「Education and research environment」format 「No. 4, the Ministry of Education document style ①Outline for Vitae」format 「No. 4, the Ministry of Education document style ②Education and research environment」format Profile Information AffiliationAssociate Professor, Faculty of Science and Technology Department of Science and Technology , Seikei UniversityDegree博士(情報学)(京都大学)Researcher number70711969J-GLOBAL ID201801006041537759researchmap Member IDB000342135External linkhttps://sites.google.com/view/takaoku-web-page/english-page?authuser=0 Research Interests 5 Semi-infinite Optimization Concic Optimization Mathematical Programming Continuous optimization Optimization Research Areas 1 Informatics / Mathematical informatics / Research History 4 Apr, 2022 - Apr, 2022 Associate Professor, Faculty of Science and Technology, Seikei University Apr, 2022 - Present Associate Professor, Faculty of Science and Technology Department of Science and Technology, Seikei University Jul, 2017 - Mar, 2022 研究員, 革新知能統合研究センター, 理化学研究所 Apr, 2013 - Jun, 2017 Management Science, Faculty of Engineering, Tokyo University of Science Education 1 Apr, 2008 - Mar, 2013 数理工学専攻, 情報学研究科, 京都大学大学院 Awards 2 Aug, 2015 研究賞奨励賞, 日本オペレーションズ・リサーチ学会 奥野貴之 Aug, 2010 学生論文賞, 日本オペレーションズリサーチ学会 奥野貴之 Papers 23 Unified Smoothing Approach for Best Hyperparameter Selection Problem Using a Bilevel Optimization Strategy Jan Harold Alcantara, Chieu Thanh Nguyen, Takayuki Okuno, Akiko Takeda, Jein-Shan Chen Mathematical Programming, 1-40, Jul, 2024 Peer-reviewed Local convergence of primal-dual interior point methods for nonlinear semi-definite optimization using the family of Monteiro-Tsuchiya directions Takayuki Okuno Computational Optimization and Applications, Mar, 2024 Peer-reviewedLead authorCorresponding author Stable Linear System Identification with Prior Knowledge by Riemannian Sequential Quadratic Optimization Mitsuaki Obara, Kazuhiro Sato, Takayuki Okuno, Akiko Takeda IEEE Transactions on Automatic Control, 1-8, Sep, 2023 Peer-reviewed Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems Shun Arahata, Takayuki Okuno, Akiko Takeda Computational Optimization and Applications, 86, Jul, 2023 Peer-reviewedCorresponding author Majorization-Minimization-Based Levenberg--Marquardt Method for Constrained Nonlinear Least Squares Naoki Marumo, Takayuki Okuno, Akiko Takeda Computational Optimization and Applications, 84 833-874, Jan, 2023 Peer-reviewed More Misc. 5 Riemannian Levenberg-Marquardt Method with Global and Local Convergence Properties Adachi, Sho, Okuno, Takayuki, Takeda, Akiko arXiv preprint arXiv:2210.00253, 2022 Analysis of the primal-dual central path for nonlinear semidefinite optimization without the nondegeneracy condition Takayuki Okuno arXiv preprint arXiv:2210.00838, 2022 Lead author Accelerated-gradient-based generalized Levenberg--Marquardt method with oracle complexity bound and local quadratic convergence N. Marumo, T.Okuno, A. Takeda arXiv:2204.12016, 2022 An oracle-based projection and rescaling algorithm for linear semi-infinite feasibility problems and its application to SDP and SOCP M. Muramatsu, T. Kitahara, B. F. Loureco, T. Okuno, T. Tsuchiya arXiv preprint arXiv:1809.10340, 2018 Optimality Conditions and Algorithms for Semi-Infinite Programs with an Infinite Number of Second-Order Cone Constraints (The evolution of optimization models and algorithms) Okuno Takayuki, Hayashi Shunsuke, Fukushima Masao RIMS Kokyuroku, 1726 161-171, Feb, 2011 Books and Other Publications 2 A Bayesian and OPtimization Perspective, 2nd Edition (Role: Joint translator) (Original Author(s): Array) Dec, 2022 理工系の基礎 情報工学 赤倉 貴子, 浜田 知久馬, 八嶋 弘幸, 太原 育夫, 谷口 行信, 古川 利博, 情報工学編集 (Role: Contributor, 第IV部「インテリジェントシステム」) 丸善出版, Apr, 2018 Presentations 14 A bilevel approach to l q hyperpa- rameter optimization Okuno Takayuki, Takeda Akiko, Kawana Akihiro, Watanabe Motokazu nternational Conference on Nonlinear Analysis and Convex Analysis International Conference on Optimization Techniques and Applications, Aug 25, 2019 Invited Smoothing Newton method for l q hyperparameter optimization Okuno Takayuki The PolyU AMA - RIKEN AIP Joint Workshop on Optimization and Machine Learning, May, 2019 Invited Hyperparameter learning for sparse l p regularizers via nonsmooth bilevel op- timization Okuno Takayuki 019 Optimization Workshop Department of Mathematics, Mar, 2019 Invited 微分不可能な2段階最適化を用いたハイパーパラメータ学習について 奥野貴之, 武田朗子, 川名哲裕 第21回情報論的学習理論ワークショップ, Nov, 2018 微分不可能な2段階最適化を用いたハイパーパラメータ選択に ついて 奥野貴之, 武田朗子, 川名哲裕 日本オペレーションズ・リサーチ学会2018年秋季研究発表, Sep, 2018 More Teaching Experience 4 プログラミング演習 (東京理科大学) 情報メディア実験 (東京理科大学) 数学演習1,2 (東京理科大学) 線形代数1 (東京理科大学) Professional Memberships 2 日本オペレーションズリサーチ学会 日本応用数理学会 Research Projects 3 Theory and algorithms for ill-conditioned conic linear programming Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024 Development of nonlinear semidefinite optimization theory and application to machine learning Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024 錐制約をもつ半無限計画問題に対するアルゴリズムの高速化と諸問題への応用 若手研究(B), 日本学術振興会, Apr, 2015 - Mar, 2019 奥野貴之
Takayuki Okuno (奥野 貴之) Please select the form format to download from below 「Education and research environment」format 「No. 4, the Ministry of Education document style ①Outline for Vitae」format 「No. 4, the Ministry of Education document style ②Education and research environment」format Profile Information AffiliationAssociate Professor, Faculty of Science and Technology Department of Science and Technology , Seikei UniversityDegree博士(情報学)(京都大学)Researcher number70711969J-GLOBAL ID201801006041537759researchmap Member IDB000342135External linkhttps://sites.google.com/view/takaoku-web-page/english-page?authuser=0 Research Interests 5 Semi-infinite Optimization Concic Optimization Mathematical Programming Continuous optimization Optimization Research Areas 1 Informatics / Mathematical informatics / Research History 4 Apr, 2022 - Apr, 2022 Associate Professor, Faculty of Science and Technology, Seikei University Apr, 2022 - Present Associate Professor, Faculty of Science and Technology Department of Science and Technology, Seikei University Jul, 2017 - Mar, 2022 研究員, 革新知能統合研究センター, 理化学研究所 Apr, 2013 - Jun, 2017 Management Science, Faculty of Engineering, Tokyo University of Science Education 1 Apr, 2008 - Mar, 2013 数理工学専攻, 情報学研究科, 京都大学大学院 Awards 2 Aug, 2015 研究賞奨励賞, 日本オペレーションズ・リサーチ学会 奥野貴之 Aug, 2010 学生論文賞, 日本オペレーションズリサーチ学会 奥野貴之 Papers 23 Unified Smoothing Approach for Best Hyperparameter Selection Problem Using a Bilevel Optimization Strategy Jan Harold Alcantara, Chieu Thanh Nguyen, Takayuki Okuno, Akiko Takeda, Jein-Shan Chen Mathematical Programming, 1-40, Jul, 2024 Peer-reviewed Local convergence of primal-dual interior point methods for nonlinear semi-definite optimization using the family of Monteiro-Tsuchiya directions Takayuki Okuno Computational Optimization and Applications, Mar, 2024 Peer-reviewedLead authorCorresponding author Stable Linear System Identification with Prior Knowledge by Riemannian Sequential Quadratic Optimization Mitsuaki Obara, Kazuhiro Sato, Takayuki Okuno, Akiko Takeda IEEE Transactions on Automatic Control, 1-8, Sep, 2023 Peer-reviewed Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems Shun Arahata, Takayuki Okuno, Akiko Takeda Computational Optimization and Applications, 86, Jul, 2023 Peer-reviewedCorresponding author Majorization-Minimization-Based Levenberg--Marquardt Method for Constrained Nonlinear Least Squares Naoki Marumo, Takayuki Okuno, Akiko Takeda Computational Optimization and Applications, 84 833-874, Jan, 2023 Peer-reviewed More Misc. 5 Riemannian Levenberg-Marquardt Method with Global and Local Convergence Properties Adachi, Sho, Okuno, Takayuki, Takeda, Akiko arXiv preprint arXiv:2210.00253, 2022 Analysis of the primal-dual central path for nonlinear semidefinite optimization without the nondegeneracy condition Takayuki Okuno arXiv preprint arXiv:2210.00838, 2022 Lead author Accelerated-gradient-based generalized Levenberg--Marquardt method with oracle complexity bound and local quadratic convergence N. Marumo, T.Okuno, A. Takeda arXiv:2204.12016, 2022 An oracle-based projection and rescaling algorithm for linear semi-infinite feasibility problems and its application to SDP and SOCP M. Muramatsu, T. Kitahara, B. F. Loureco, T. Okuno, T. Tsuchiya arXiv preprint arXiv:1809.10340, 2018 Optimality Conditions and Algorithms for Semi-Infinite Programs with an Infinite Number of Second-Order Cone Constraints (The evolution of optimization models and algorithms) Okuno Takayuki, Hayashi Shunsuke, Fukushima Masao RIMS Kokyuroku, 1726 161-171, Feb, 2011 Books and Other Publications 2 A Bayesian and OPtimization Perspective, 2nd Edition (Role: Joint translator) (Original Author(s): Array) Dec, 2022 理工系の基礎 情報工学 赤倉 貴子, 浜田 知久馬, 八嶋 弘幸, 太原 育夫, 谷口 行信, 古川 利博, 情報工学編集 (Role: Contributor, 第IV部「インテリジェントシステム」) 丸善出版, Apr, 2018 Presentations 14 A bilevel approach to l q hyperpa- rameter optimization Okuno Takayuki, Takeda Akiko, Kawana Akihiro, Watanabe Motokazu nternational Conference on Nonlinear Analysis and Convex Analysis International Conference on Optimization Techniques and Applications, Aug 25, 2019 Invited Smoothing Newton method for l q hyperparameter optimization Okuno Takayuki The PolyU AMA - RIKEN AIP Joint Workshop on Optimization and Machine Learning, May, 2019 Invited Hyperparameter learning for sparse l p regularizers via nonsmooth bilevel op- timization Okuno Takayuki 019 Optimization Workshop Department of Mathematics, Mar, 2019 Invited 微分不可能な2段階最適化を用いたハイパーパラメータ学習について 奥野貴之, 武田朗子, 川名哲裕 第21回情報論的学習理論ワークショップ, Nov, 2018 微分不可能な2段階最適化を用いたハイパーパラメータ選択に ついて 奥野貴之, 武田朗子, 川名哲裕 日本オペレーションズ・リサーチ学会2018年秋季研究発表, Sep, 2018 More Teaching Experience 4 プログラミング演習 (東京理科大学) 情報メディア実験 (東京理科大学) 数学演習1,2 (東京理科大学) 線形代数1 (東京理科大学) Professional Memberships 2 日本オペレーションズリサーチ学会 日本応用数理学会 Research Projects 3 Theory and algorithms for ill-conditioned conic linear programming Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024 Development of nonlinear semidefinite optimization theory and application to machine learning Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024 錐制約をもつ半無限計画問題に対するアルゴリズムの高速化と諸問題への応用 若手研究(B), 日本学術振興会, Apr, 2015 - Mar, 2019 奥野貴之
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