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J-GLOBAL ID：200901007423905142   Update date: May. 16, 2024

Takeda Akiko

タケダ アキコ | Takeda Akiko
Affiliation and department：
東京大学大学院 情報理工学系研究科

About 東京大学大学院 情報理工学系研究科


Job title： 教授
Homepage URL  (2)： http://www.or.mist.i.u-tokyo.ac.jp/takeda/index.html ,  https://www.or.mist.i.u-tokyo.ac.jp/takeda/index-e.html
Research field  (4)： Safety engineering ,  Social systems engineering ,  Mathematical informatics ,  Information theory
Research keywords  (14)： エネルギー最適化 ,  ロバスト最適化 ,  半正定値計画問題 ,  機械学習 ,  不確実性 ,  非凸最適化 ,  判別分別 ,  L0ノルム ,  金融工学 ,  ポートフォリオ選択 ,  数理最適化 ,  オペレーションズリサーチ ,  Mathematical programming ,  Operations research
Research theme for competitive and other funds  (17)：
  • 2019 - 2024 高次元・大規模・多ドメインデータの特徴抽出と情報統合による統計的学習
  • 2019 - 2023 Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning
  • 2017 - 2022 Development of Global Optimization Methods by Generalized Eigenvalue Computation
  • 2015 - 2020 大規模ロバスト最適化問題に対する効率的解法と機械学習への応用
  • 2015 - 2019 汎用的な実証基盤体系を利用したシナリオ対応型分散協調 EMS 実現手法の創出
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Papers (86)：
  • Naoki Marumo, Takayuki Okuno, Akiko Takeda. Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares. Computational Optimization and Applications. 2023. 84. 3. 833-874
  • Naoki Marumo, Takayuki Okuno, Akiko Takeda. Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares. Computational Optimization and Applications. 2023. 84. 3. 833-874
  • Tianxiang Liu, Akiko Takeda. An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems. Computational Optimization and Applications. 2022. 82. 1. 141-173
  • Ivan Markovsky, Tianxiang Liu, Akiko Takeda. Data-Driven Structured Noise Filtering via Common Dynamics Estimation. IEEE Transactions on Signal Processing. 2020. 68. 3064-3073
  • Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda. A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM Journal on Matrix Analysis and Applications. 2020. 41. 3. 1260-1283
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MISC (40)：
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Books (1)：
  • CVaR Minimizations in Support Vector Machines
    2016
Lectures and oral presentations  (29)：
  • Efficient DC Algorithm for Sparse Optimization Problems
    (Tokyo Deep Learning Work- shop 2018 2018)
  • Optimal Sizing of Photovoltaic Systems for Loss Minimization
    (2018 SICE International Symposium on Control Systems 2018)
  • Efficient DC Algorithm for Sparse Optimization Problems
    (Georgia Tech and Friedrich- Alexander-Universitat Workshop 2018 2018)
  • Learning theory and algorithms for shapelets and other local features
    (NIPS 2017 Time Series Workshop 2017)
  • Position-based Multiple-play Multi-armed Bandit Problem with Unknown Position Bias
    (The Thirty-First Annual Conference on Neural Infor- mation Processing Systems 2017)
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Works (1)：
  • 不確実を考慮した設備投資計画手法
    2003 - 2003
Education (4)：
  • 1998 - 2001 Tokyo Institute of Technology Information Science and Engineering Mathematical and Computing Sciences
  • - 2001 Tokyo Institute of Technology
  • 1996 - 1998 Keio University
  • - 1996 Keio University Faculty of Science and Engineering
Professional career (2)：
  • Doctor of Science (Tokyo Institute of Technology)
  • Master of Engineering (Keio University)
Work history (6)：
  • 2018/04 - 現在 The University of Tokyo
  • 2016/04 - 2018/03 The Institute of Statistical Mathematics
  • 2013/04 - 2016/03 The University of Tokyo
  • 2008/04 - 2013/03 Keio University
  • 2003/04 - 2008/03 Tokyo Institute of Technology
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Awards (1)：
  • 2016/09 - 日本オペレーションズ・リサーチ学会 研究賞 本学会員であること,独創性と将来性に富みORの発展に寄与する研究業績を挙げていること,の条件を満たす個人に贈られる賞
Association Membership(s) (1)：
日本オペレーションズ・リサーチ学会
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