差分

このページの2つのバージョン間の差分を表示します。

--- en:intro:publications [2024/01/09 17:41] – [Publications in Refereed Journals] Hideaki IIDUKA
+++ en:intro:publications [2024/04/27 14:02] (現在) – [Publications in Refereed Journals] Hideaki IIDUKA
@@ 行 1: / 行 1: @@
 ====== Publications ======
 ===== 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)
 ===== 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)
 ==== 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.co.jp/citations?user=RXrwOgoAAAAJ&hl=ja|Hiroyuki Sakai]], [[..:iiduka:|Hideaki Iiduka]]: **[[|Modified Memoryless Spectral-scaling Broyden Family on Riemannian Manifolds]]**, [[https://link.springer.com/journal/10957|Journal of Optimization Theory and Applications]] ?? (?): ??--?? (2024) {{:iiduka:jota_d_23_00479_r2.pdf|PDF}} [[|Springer Nature SharedIt]]
+  - [[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]]
+==== 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 =====
 ==== Books ====
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   - [[en:iiduka:|Hideaki Iiduka]], Hiroyuki Sakai: **[[https://link.springer.com/article/10.1007/s11075-021-01238-y|Riemannian Stochastic Fixed Point Optimization Algorithm]]**, [[https://www.springer.com/journal/11075|Numerical Algorithms]] 90: 1493--1517 (2022) {{:iiduka:iiduka_sakai_2020.pdf|PDF}} [[https://rdcu.be/cGDSS|Springer Nature SharedIt]]
   - 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]]
+==== Conference Activities & Talks ====
+  - [[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)
 ===== 2021 =====