両方とも前のリビジョン 前のリビジョン 次のリビジョン | 前のリビジョン 次のリビジョン両方とも次のリビジョン |
en:intro:publications [2024/01/18 18:42] – [Publications in Refereed Journals] Hideaki IIDUKA | en:intro:publications [2024/06/11 13:57] – [Publications in Refereed Journals] Hideaki IIDUKA |
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====== Publications ====== | ====== Publications ====== |
===== Preprints ===== | ===== Preprints ===== |
- [[http://arxiv.org/find/math/1/au:+Iiduka_H/0/1/0/all/0/1|preprints]] (arXiv.org Search Results) | - [[https://arxiv.org/search/?searchtype=author&query=Iiduka%2C+H|preprints]] (arXiv.org Search Results) |
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===== 2024 ===== | ===== 2024 ===== |
| ==== Reward and Punishment ==== |
| - [[https://scholar.google.co.jp/citations?user=rNbGTIgAAAAJ&hl=ja|Naoki Sato]]: [[https://orsj.org/nc2024s/student_award|The Student Excellent Presentation Award of The 2024 Spring National Conference of Operations Research Society of Japan]] (Mar. 19, 2024) |
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==== Publications in Refereed Journals ==== | ==== Publications in Refereed Journals ==== |
- [[https://scholar.google.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|Hiroyuki Sakai]], [[en:iiduka:|Hideaki Iiduka]]: **Convergence of Riemannian Stochastic Gradient Descent on Hadamard Manifold**, [[http://manu71.magtech.com.cn/Jwk3_pjo/EN/home|Pacific Journal of Optimization]]: Special issue: Dedicated to Prof. Masao Fukushima on the occasion of his 75th birthday ?? (?): ??--?? (2024) | - [[https://scholar.google.com/citations?user=hdDU4Z4AAAAJ&hl=ja|Kento Imaizumi]], [[en:iiduka:|Hideaki Iiduka]]: **[[https://doi.org/10.1080/02331934.2024.2367635|Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates]]**, [[https://www.tandfonline.com/journals/gopt20|Optimization]]: Special Issue dedicated to Dr. Alexander J. Zaslavski on the occasion of his 65th birthday ?? (?):?? --?? (2024) {{:iiduka:opt2024.pdf|PDF}} |
| - [[https://scholar.google.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|Hiroyuki Sakai]], [[en:iiduka:|Hideaki Iiduka]]: **[[https://link.springer.com/article/10.1007/s10957-024-02449-8?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20240529&utm_content=10.1007%2Fs10957-024-02449-8|Modified Memoryless Spectral-scaling Broyden Family on Riemannian Manifolds]]**, [[https://link.springer.com/journal/10957|Journal of Optimization Theory and Applications]] ?? (?): ??--?? (2024) [[https://link.springer.com/article/10.1007/s10957-024-02449-8?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20240529&utm_content=10.1007%2Fs10957-024-02449-8|Open Access]] |
| - [[https://scholar.google.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|Hiroyuki Sakai]], [[en:iiduka:|Hideaki Iiduka]]: **[[http://manu71.magtech.com.cn/Jwk3_pjo/EN/10.61208/pjo-2024-005|Convergence of Riemannian Stochastic Gradient Descent on Hadamard Manifold]]**, [[http://manu71.magtech.com.cn/Jwk3_pjo/EN/home|Pacific Journal of Optimization]]: Special issue: Dedicated to Prof. Masao Fukushima on the occasion of his 75th birthday ?? (?): ??--?? (2024) |
- [[en:iiduka:|Hideaki Iiduka]]: **[[https://link.springer.com/article/10.1007/s11075-023-01575-0|Theoretical Analysis of Adam using Hyperparameters Close to One without Lipschitz Smoothness]]**, [[https://www.springer.com/journal/11075|Numerical Algorithms]] 95: 383--421 (2024) {{:iiduka:iiduka2023.pdf|PDF}} [[https://rdcu.be/df4ce|Springer Nature SharedIt]] | - [[en:iiduka:|Hideaki Iiduka]]: **[[https://link.springer.com/article/10.1007/s11075-023-01575-0|Theoretical Analysis of Adam using Hyperparameters Close to One without Lipschitz Smoothness]]**, [[https://www.springer.com/journal/11075|Numerical Algorithms]] 95: 383--421 (2024) {{:iiduka:iiduka2023.pdf|PDF}} [[https://rdcu.be/df4ce|Springer Nature SharedIt]] |
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| ==== Conference Activities & Talks ==== |
| - [[https://scholar.google.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|Hiroyuki Sakai]], [[en:iiduka:|Hideaki Iiduka]]: **Modification and extension of memoryless spectral-scaling Broyden family on Riemannian manifolds**, The 2024 Spring National Conference of Operations Research Society of Japan, Kasuga Area, Tsukuba Campus, University of Tsukuba (Mar. 7, 2024) |
| - [[https://scholar.google.co.jp/citations?user=rNbGTIgAAAAJ&hl=ja|Naoki Sato]], [[en:iiduka:|Hideaki Iiduka]]: **Global optimization of deep neural networks for graduated optimization method using smoothness of stochastic gradient descent**, The 2024 Spring National Conference of Operations Research Society of Japan, Kasuga Area, Tsukuba Campus, University of Tsukuba (Mar. 7, 2024) |
===== 2023 ===== | ===== 2023 ===== |
==== Books ==== | ==== Books ==== |
- Yu Kobayashi, [[en:iiduka:|Hideaki Iiduka]]: **[[http://www.yokohamapublishers.jp/online2/jncav23-2.html|Conjugate-gradient-based Adam for Nonconvex Stochastic Optimization and Its Application to Deep Learning]]**, [[http://yokohamapublishers.jp/jnca.html|Journal of Nonlinear and Convex Analysis]]: Special issue: Memory of Wataru Takahashi 23 (2): 337--356 (2022) [[http://yokohamapublishers.jp/online-p/JNCA/Open/vol23/jncav23n2p337-oa/HTML5/index.html|Open Access]] | - Yu Kobayashi, [[en:iiduka:|Hideaki Iiduka]]: **[[http://www.yokohamapublishers.jp/online2/jncav23-2.html|Conjugate-gradient-based Adam for Nonconvex Stochastic Optimization and Its Application to Deep Learning]]**, [[http://yokohamapublishers.jp/jnca.html|Journal of Nonlinear and Convex Analysis]]: Special issue: Memory of Wataru Takahashi 23 (2): 337--356 (2022) [[http://yokohamapublishers.jp/online-p/JNCA/Open/vol23/jncav23n2p337-oa/HTML5/index.html|Open Access]] |
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==== Talks ==== | ==== Conference Activities & Talks ==== |
- [[https://scholar.google.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|酒井 裕行]], 佐藤 寛之, [[..:iiduka:|飯塚 秀明]]: **Riemann多様体上のHZ型共役勾配法の固有値問題への応⽤**, 日本応用数理学会 2022年度年会, 北海道大学 (2022年9月8日) | - [[https://scholar.google.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|Hiroyuki Sakai]], [[https://sites.google.com/site/hiroyukisatoeng/|Hiroyuki Sato]], [[en:iiduka:|Hideaki Iiduka]]: **HZ-type Conjugate Gradient Method on Riemann Manifold and Its Application to Eigenvalue Problems**, The 2022 National Conference of The Japan Society for Industrial and Applied Mathematics: Algorithms for Matrix / Eigenvalue Problems and their Applications, Hokkaido University Institute for the Advancement of Higher Education (Sept. 8, 2022) |
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===== 2021 ===== | ===== 2021 ===== |