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Takeda Akiko  武田 朗子

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TAKEDA Akiko  武田 朗子

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Researcher Number 80361799
Other IDs
Affiliation (Current) 2025: 東京大学, 大学院情報理工学系研究科, 教授
Affiliation (based on the past Project Information) *help 2018 – 2024: 東京大学, 大学院情報理工学系研究科, 教授
2017: 東京大学, 情報理工学(系)研究科, 准教授
2016 – 2017: 統計数理研究所, 数理・推論研究系, 教授
2013 – 2015: 東京大学, 情報理工学(系)研究科, 准教授
2011 – 2012: 慶應義塾大学, 理工学部, 准教授 … More
2008 – 2010: Keio University, 理工学部, 講師
2009: 慶應義塾大学, 大学院・理工学研究科, 専任講師
2007: Tokyo Institute of Technology, 大学院・情報理工学研究科, 助教
2006: 東京工業大学, 大学院情報理工学研究科, 助手
2003 – 2005: 東京工業大学, 大学院・情報理工学研究科, 助手 Less
Review Section/Research Field
Principal Investigator
Social systems engineering/Safety system / Basic Section 60020:Mathematical informatics-related / Sections That Are Subject to Joint Review: Basic Section60010:Theory of informatics-related , Basic Section60020:Mathematical informatics-related / Basic Section 60010:Theory of informatics-related / Mathematical informatics
Except Principal Investigator
Mathematical informatics / Science and Engineering / Basic Section 60030:Statistical science-related / Social systems engineering/Safety system / Social systems engineering/Safety system
Keywords
Principal Investigator
ロバスト最適化 / ランダム行列理論 / 非凸非平滑最適化 / サポートベクターマシン / 機械学習 / 統計的学習 / リスク尺度 / サポートベクターマシーン / 不確実性 / 最適化問題連続変形法 … More / 制約付き最適化 / ランダム部分空間法 / 部分空間法 / 大規模非凸最適化 / 低ランクスパース最適化 / 確率的DCアルゴリズム / ペナルティ法 / ホモトピー法 / 2段階最適化問題 / 錐最適化問題 / 確率最適化 / 大域収束性 / 最悪反復計算量 / DC最適化 / ロジスティック回帰 / 射影計算 / 半正定値緩和 / 二次制約付き二次計画問題 / 加速近接勾配法 / 統一的判別モデル / 太陽光発電システム導入量 / スパースポートフォリオ選択 / 多期間ロバスト最適化 / DCアルゴズム / 非凸最適化 / DCアルゴリズム / 非平滑非凸最適化問題 / システム同定 / 外れ値検出 / 太陽光発電システム / 多期間ロバスト最適化問題 / L0ノルム / 正則化 / トラッキング・ポートフォリオ / 外れ値 / 正則化項 / 回帰分析 / ポートフォリオ選択 / ポートフォリオモデル / 金融リスク尺度 / ポートフォリオ最適化問題 / 局所最適性 / 非凸二次計画問題 / 汎化誤差 / Conditional Value-at-Risk / 汎化性能 / ポートフォリオ最適化 / conditional value-at-risk / 分類問題 / 金融工学 / 数理最適化 / OR / 大規模問題 / 判別分別 / 最適化問題 / ロバスト / 数理計画問題 / 半正定値計画問題 / サンプリング / 二値判別問題 … More
Except Principal Investigator
機械学習 / 並列計算 / 一般化固有値計算 / 大域最適化 / 数理最適化 / 最適化 / 多項式 / 情報転送 / 転移学習 / 多ドメインデータ / 最適輸送 / 機械学修 / 数理統計 / 数理統計学 / データサイエンス / AI / アルゴリズム / 一般化固有値 / 統計的機械学習 / 信頼領域法 / 楕円体 / SCM / 動的配置 / 頑健性 / 途絶リスク / SCDRM / SCRM / 安全在庫 / レジリエンス / リスクマネジメント / サプライチェーン途絶 / サプライチェーンマネジメント / 経営工学 / 数理計画 / 疎性 / 半正定値計画問題 / 凸緩和 / 半正定値計画 / 大域的最適化 / ホモトピー法 / 2次錐計画 / 多変数多項式方程式系 / 半正定値計画緩和 / 多項式計画問題 / 最適化問題 Less
  • Research Projects

    (13 results)
  • Research Products

    (255 results)
  • Co-Researchers

    (30 People)
  •  Developing subspace methods for constrained optimization problems and their application to machine learningPrincipal Investigator

    • Principal Investigator
      武田 朗子
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60020:Mathematical informatics-related
      Basic Section 60010:Theory of informatics-related
      Sections That Are Subject to Joint Review: Basic Section60010:Theory of informatics-related , Basic Section60020:Mathematical informatics-related
    • Research Institution
      The University of Tokyo
  •  Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learningPrincipal Investigator

    • Principal Investigator
      Takeda Akiko
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60020:Mathematical informatics-related
    • Research Institution
      The University of Tokyo
  •  Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data

    • Principal Investigator
      Kanamori Takafumi
    • Project Period (FY)
      2019 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Tokyo Institute of Technology
  •  Development of Global Optimization Methods by Generalized Eigenvalue Computation

    • Principal Investigator
      Iwata Satoru
    • Project Period (FY)
      2017 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Mathematical informatics
    • Research Institution
      The University of Tokyo
  •  Efficient large-scale robust optimization algorithms and their applications to machine learningPrincipal Investigator

    • Principal Investigator
      Takeda Akiko
    • Project Period (FY)
      2015 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Mathematical informatics
    • Research Institution
      The University of Tokyo
      The Institute of Statistical Mathematics
  •  Global Optimization Methods by Generalized Eigenvalue Computation

    • Principal Investigator
      Iwata Satoru
    • Project Period (FY)
      2014 – 2016
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Mathematical informatics
    • Research Institution
      The University of Tokyo
  •  A Research on Methodologies and System Development for Supply Chain Disruption Risk Management

    • Principal Investigator
      Matsukawa Hiroaki
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Social systems engineering/Safety system
    • Research Institution
      Keio University
  •  Applying statistical learning theory to portfolio optimization problemsPrincipal Investigator

    • Principal Investigator
      TAKEDA Akiko
    • Project Period (FY)
      2011 – 2014
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Social systems engineering/Safety system
    • Research Institution
      The University of Tokyo
      Keio University
  •  A challenge to huge scale semidefinite programs-exploiting sparsity, parallel computation and polynomial optimization problems

    • Principal Investigator
      KOJIMA Masakazu
    • Project Period (FY)
      2007 – 2009
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Social systems engineering/Safety system
    • Research Institution
      Tokyo Institute of Technology
  •  Nonconvex classification method based on risk minimization and its application to credit approvals and medical diagnosisPrincipal Investigator

    • Principal Investigator
      TAKEDA Akiko
    • Project Period (FY)
      2007 – 2010
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Social systems engineering/Safety system
    • Research Institution
      Keio University
      Tokyo Institute of Technology
  •  多項式計画問題に対する大域的最適解法とその並列計算

    • Principal Investigator
      小島 政和
    • Project Period (FY)
      2004 – 2005
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Science and Engineering
    • Research Institution
      Tokyo Institute of Technology
  •  不確実性を含んだ数理計画問題に対するロバスト最適化法と最適設備投資決定への適用Principal Investigator

    • Principal Investigator
      武田 朗子
    • Project Period (FY)
      2004 – 2006
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Social systems engineering/Safety system
    • Research Institution
      Tokyo Institute of Technology
  •  多項式計画問題に対する大域的最適解法とその並列計算

    • Principal Investigator
      KOJIMA Masakazu
    • Project Period (FY)
      2003
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Science and Engineering
    • Research Institution
      Tokyo Institute of Technology

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All Journal Article Presentation Book

  • [Book] Chapter 10 (CVaR Minimizations in Support Vector Machines) in Financial Signal Processing and Machine Learning2016

    • Author(s)
      Jun-ya Gotoh, Akiko Takeda
    • Total Pages
      32
    • Publisher
      Wiley-Blackwell
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Stable Linear System Identification with Prior Knowledge by Riemannian Sequential Quadratic Optimization2024

    • Author(s)
      Mitsuaki Obara , Kazuhiro Sato , Hiroki Sakamoto , Takayuki Okuno , Akiko Takeda
    • Journal Title

      IEEE Transactions on Automatic Control

      Volume: 69 Issue: 3 Pages: 2060-2066

    • DOI

      10.1109/tac.2023.3318195

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K19748, KAKENHI-PROJECT-22KJ0563, KAKENHI-PROJECT-23K03899, KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-20H04145, KAKENHI-PROJECT-23K28041
  • [Journal Article] Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems2023

    • Author(s)
      Shun Arahata , Takayuki Okuno , Akiko Takeda
    • Journal Title

      Computational Optimization and Applications

      Volume: 86 Issue: 2 Pages: 555-598

    • DOI

      10.1007/s10589-023-00501-3

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K19748, KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-20H04145, KAKENHI-PROJECT-23K28041
  • [Journal Article] Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints2023

    • Author(s)
      Liu Tianxiang、Pong Ting Kei、Takeda Akiko
    • Journal Title

      Computational Optimization and Applications

      Volume: 86 Issue: 2 Pages: 521-553

    • DOI

      10.1007/s10589-023-00503-1

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-23K28041
  • [Journal Article] Robust Gaussian Process Regression with the Trimmed Marginal Likelihood2023

    • Author(s)
      Daniel Andrade, Akiko Takeda
    • Journal Title

      Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence

      Volume: PMLR 216 Pages: 67-76

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Journal Article] Robust Gaussian Process Regression with the Trimmed Marginal Likelihood2023

    • Author(s)
      Daniel Andrade, Akiko Takeda
    • Journal Title

      Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence

      Volume: PMLR 216 Pages: 67-76

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K28041
  • [Journal Article] Random projections of linear and semidefinite problems with linear inequalities2023

    • Author(s)
      Poirion Pierre-Louis、Lourenco Bruno F.、Takeda Akiko
    • Journal Title

      Linear Algebra and its Applications

      Volume: 664 Pages: 24-60

    • DOI

      10.1016/j.laa.2023.01.013

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20217, KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-23K28041
  • [Journal Article] A study on modularity density maximization: Column generation acceleration and computational complexity analysis2023

    • Author(s)
      Issey Sukeda, Atsushi Miyauchi, and Akiko Takeda
    • Journal Title

      European Journal of Operational Research

      Volume: - Issue: 2 Pages: 516-528

    • DOI

      10.1016/j.ejor.2023.01.061

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20218, KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-23K28041
  • [Journal Article] An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems2022

    • Author(s)
      Tianxiang Liu, Akiko Takeda
    • Journal Title

      Computational Optimization and Applications

      Volume: 82 Issue: 1 Pages: 141-173

    • DOI

      10.1007/s10589-022-00357-z

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Journal Article] On Lp-hyperparameter Learning via Bilevel Nonsmooth Optimization2021

    • Author(s)
      Okuno Takayuki, Takeda Akiko, Kawana Akihiro, Watanabe Motokazu
    • Journal Title

      Journal of Machine Learning Research

      Volume: 22(245) Pages: 1-347

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Journal Article] A Gradient Method for Multilevel Optimization2021

    • Author(s)
      Ryo Sato, Mirai Tanaka, Akiko Takeda
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 34 Pages: 7522-7533

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Journal Article] A Gradient Method for Multilevel Optimization2021

    • Author(s)
      Sato Ryo, Tanaka Mirai, Takeda Akiko
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 34 Pages: 7522-7533

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Journal Article] Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization2021

    • Author(s)
      Michael Metel, Akiko Takeda,
    • Journal Title

      Journal of Machine Learning Research

      Volume: 22 (115) Pages: 1-36

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Journal Article] Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization2021

    • Author(s)
      Metel Michael R.、Takeda Akiko
    • Journal Title

      Journal of Machine Learning Research

      Volume: 22(115) Pages: 1-36

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Journal Article] A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion2021

    • Author(s)
      Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka
    • Journal Title

      CIKM

      Volume: 30 Pages: 1274-1283

    • DOI

      10.1145/3459637.3482408

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19K20218, KAKENHI-PROJECT-19H04069
  • [Journal Article] Primal-dual subgradient method for constrained convex optimization problems2021

    • Author(s)
      Michael R. Metel, Akiko Takeda
    • Journal Title

      Optimization Letters

      Volume: 15 Issue: 4 Pages: 1491-1504

    • DOI

      10.1007/s11590-021-01728-x

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
  • [Journal Article] A hybrid penalty method for a class of optimization problems with multiple rank constraints2020

    • Author(s)
      Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
    • Journal Title

      SIAM Journal on Matrix Analysis and Applications

      Volume: 41 Issue: 3 Pages: 1260-1283

    • DOI

      10.1137/19m1269919

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
  • [Journal Article] Estimation of Gaussian Mixture Models via Tensor Moments with Application to Online Learning2020

    • Author(s)
      Donya Rahmani, Mahesan Niranjan, Damien Fay, Akiko Takeda, Jacek Brodzki
    • Journal Title

      Pattern Recognition Letters

      Volume: 131 Pages: 285-292

    • DOI

      10.1016/j.patrec.2020.01.001

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-19H04069
  • [Journal Article] Construction Methods of the Nearest Positive System2020

    • Author(s)
      Kazuhiro Sato, Akiko Takeda
    • Journal Title

      IEEE Control Systems Letters

      Volume: 4 Issue: 1 Pages: 97-102

    • DOI

      10.1109/lcsys.2019.2921838

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-18K13773
  • [Journal Article] Generalized Subdifferentials of Spectral Functions over Euclidean Jordan Algebras2020

    • Author(s)
      Lourenco Bruno F.、Takeda Akiko
    • Journal Title

      SIAM Journal on Optimization

      Volume: 30 Issue: 4 Pages: 3387-3414

    • DOI

      10.1137/19m1245001

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20217, KAKENHI-PROJECT-19H04069
  • [Journal Article] Data-driven structured noise filtering via common dynamics estimation2020

    • Author(s)
      Ivan Markovsky, Tianxiang Liu, Akiko Takeda
    • Journal Title

      IEEE Transactions on Signal Processing

      Volume: 68 Pages: 3064-3073

    • DOI

      10.1109/tsp.2020.2993676

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
  • [Journal Article] Convex fairness constrained model using causal effect estimators2020

    • Author(s)
      Hikaru Ogura, Akiko Takeda
    • Journal Title

      WWW '20: Companion Proceedings of the Web Conference 2020

      Volume: - Pages: 723-732

    • DOI

      10.1145/3366424.3383556

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
  • [Journal Article] Controllability maximization of large-scale systems using projected gradient method2020

    • Author(s)
      Kazuhiro Sato, Akiko Takeda
    • Journal Title

      IEEE Control Systems Letters

      Volume: 4 Pages: 821-826

    • DOI

      10.1109/lcsys.2020.2993983

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K14760, KAKENHI-PROJECT-19H04069
  • [Journal Article] Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model2020

    • Author(s)
      Daniel Andrade, Akiko Takeda, Kenji Fukumizu
    • Journal Title

      Statistics and Computing

      Volume: 30 Issue: 2 Pages: 351-376

    • DOI

      10.1007/s11222-019-09879-9

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-15K00031
  • [Journal Article] Theory and Algorithms for Shapelet-Based Multiple-Instance Learning2020

    • Author(s)
      Suehiro Daiki、Hatano Kohei、Takimoto Eiji、Yamamoto Shuji、Bannai Kenichi、Takeda Akiko
    • Journal Title

      Neural Computation

      Volume: 32 Issue: 8 Pages: 1580-1613

    • DOI

      10.1162/neco_a_01297

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04174, KAKENHI-PROJECT-19H04067, KAKENHI-PROJECT-19H04069
  • [Journal Article] Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2019

    • Author(s)
      Michael Metel, Akiko Takeda
    • Journal Title

      Proceedings of the 36th International Conference on Machine Learning

      Volume: 97 Pages: 4537-4545

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Journal Article] Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2019

    • Author(s)
      Michael Metel, Akiko Takeda
    • Journal Title

      Proceedings of the 36th International Conference on Machine Learning

      Volume: 97 Pages: 4537-4545

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Subspace methods for multi-channel sum-of-exponentials common dynamics estimation2019

    • Author(s)
      Ivan Markovsky, Tianxiang Liu, Akiko Takeda
    • Journal Title

      2019 IEEE 58th Conference on Decision and Control (CDC)}, Nice, France, 2019, pp. 2672-2675.

      Volume: - Pages: 2672-2675

    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Journal Article] Algorithm 996: BBCPOP: A Sparse Doubly Nonnegative Relaxation?of Polynomial Optimization Problems?with Binary, Box and Complementarity Constraints2019

    • Author(s)
      Naoki Ito, Sunyoung Kim, Masakazu Kojima, Akiko Takeda and Kim-Chuan Toh
    • Journal Title

      ACM Transaction on Mathematical Software

      Volume: 45 Issue: 3 Pages: 1-26

    • DOI

      10.1145/3309988

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00808, KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-15K00031
  • [Journal Article] A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems2019

    • Author(s)
      Tianxiang Liu, Ting Kei Pong, Akiko Takeda
    • Journal Title

      Mathematical Programming

      Volume: 176 Issue: 1-2 Pages: 339-367

    • DOI

      10.1007/s10107-018-1327-8

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069, KAKENHI-PROJECT-15K00031
  • [Journal Article] A refined convergence analysis of pDCAe with applications to simultaneous sparse recovery and outlier detection2019

    • Author(s)
      Liu Tianxiang、Pong Ting Kei、Takeda Akiko
    • Journal Title

      Computational Optimization and Applications

      Volume: 73 Issue: 1 Pages: 69-100

    • DOI

      10.1007/s10589-019-00067-z

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-19H04069
  • [Journal Article] Subspace methods for multi-channel sum-of-exponentials common dynamics estimation2019

    • Author(s)
      Ivan Markovsky, Tianxiang Liu, Akiko Takeda
    • Journal Title

      2019 IEEE 58th Conference on Decision and Control (CDC)

      Volume: - Pages: 2672-2675

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Subspace methods for multi-channel sum-of-exponentials common dynamics estimation2019

    • Author(s)
      Ivan Markovsky,Tianxiang Liu, Akiko Takeda
    • Journal Title

      Proceedings of the 58th IEEE Conference on Decision and Control

      Volume: - Pages: 2672-2675

    • DOI

      10.1109/cdc40024.2019.9029261

    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Journal Article] Successive Lagrangian relaxation algorithm for nonconvex quadratic optimization2018

    • Author(s)
      Yamada Shinji、Takeda Akiko
    • Journal Title

      Journal of Global Optimization

      Volume: On-line First Issue: 2 Pages: 1-38

    • DOI

      10.1007/s10898-018-0617-2

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-15K00031
  • [Journal Article] Trimmed Density Ratio Estimation2018

    • Author(s)
      Song Liu, Akiko Takeda, Taiji Suzuki, Kenji Fukumizu,
    • Journal Title

      Proceedings of the 31st Neural Information Processing Systems (NIPS 2017)

      Volume: 印刷中

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Improving cash logistics in bank branches by coupling machine learning and robust optimization2018

    • Author(s)
      Lopez Lazaro Jorge、Barbero Jimenez Alvaro、Takeda Akiko
    • Journal Title

      Expert Systems with Applications

      Volume: 92 Pages: 236-255

    • DOI

      10.1016/j.eswa.2017.09.043

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Optimal Sizing of Energy Storage Systems for the Energy Procurement Problem in Multi-Period Markets under Uncertainties2018

    • Author(s)
      Konishi Ryusuke、Takeda Akiko、Takahashi Masaki
    • Journal Title

      Energies

      Volume: 11 Issue: 1 Pages: 158-158

    • DOI

      10.3390/en11010158

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Optimal Sizing of Photovoltaic Systems for Loss Minimization2018

    • Author(s)
      Shunnosuke Ikeda, Akiko Takeda, Hiromitsu Ohmori,
    • Journal Title

      2018 SICE International Symposium on Control Systems

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Equivalences and differences in conic relaxations of combinatorial quadratic optimization problems2018

    • Author(s)
      Ito N.、Kim S.、Kojima M.、Takeda A.、Toh K.-C.
    • Journal Title

      Journal of Global Optimization

      Volume: 72 Issue: 4 Pages: 619-653

    • DOI

      10.1007/s10898-018-0676-4

    • NAID

      40021559420

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-26242027, KAKENHI-PROJECT-17H01699
  • [Journal Article] Optimal sizing of photovoltaic systems for loss minimization in distribution network2018

    • Author(s)
      Ikeda Shunnosuke、Takeda Akiko、Ohmori Hiromitsu
    • Journal Title

      2018 SICE International Symposium on Control Systems (SICE ISCS)

      Volume: - Pages: 185-192

    • DOI

      10.23919/siceiscs.2018.8330174

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Robust Densest Subgraph Discovery2018

    • Author(s)
      Atsushi Miyauchi, Akiko Takeda
    • Journal Title

      the 2018 IEEE International Conference on Data Mining

      Volume: - Pages: 1188-1193

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Position-based Multiple-play Multi-armed Bandit Problem with Unknown Position Bias2018

    • Author(s)
      Junpei Komiyama, Junya Honda, Akiko Takeda,
    • Journal Title

      Proceedings of the 31st Neural Information Processing Systems (NIPS 2017)

      Volume: 印刷中

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Nonconvex Optimization for Regression with Fairness Constraints2018

    • Author(s)
      Junpei Komiyama, Akiko Takeda, Junya Honda, Hajime Shimao
    • Journal Title

      Proceedings of Machine Learning Research (ICML2018)

      Volume: 80 Pages: 2737-2746

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Successive Lagrangian relaxation algorithm for nonconvex quadratic optimization2017

    • Author(s)
      Shinji Yamada, Akiko Takeda
    • Journal Title

      Mathematical Engineering Technical Reports METR 2017-08

      Volume: -

    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Breakdown point of robust support vector machines2017

    • Author(s)
      Kanamori, T., Fujiwara, S., Takeda, A.
    • Journal Title

      Entropy

      Volume: 19 Issue: 2 Pages: 83-83

    • DOI

      10.3390/e19020083

    • NAID

      110009971425

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-15H03636, KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-16K00044
  • [Journal Article] DC Algorithm for Extended Robust Support Vector Machine2017

    • Author(s)
      Fujiwara Shuhei、Takeda Akiko、Kanamori Takafumi
    • Journal Title

      Neural Computation

      Volume: 29 Issue: 5 Pages: 1406-1438

    • DOI

      10.1162/neco_a_00958

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-16K00044
  • [Journal Article] Exact Semidefinite Programming Relaxations with Truncated Moment Matrix for Binary Polynomial Optimization Problems2017

    • Author(s)
      Sakaue Shinsaku、Takeda Akiko、Kim Sunyoung、Ito Naoki
    • Journal Title

      SIAM Journal on Optimization

      Volume: 27 Issue: 1 Pages: 565-582

    • DOI

      10.1137/16m105544x

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] DC Algorithm for Extended Robust Support Vector Machine2017

    • Author(s)
      Shuhei Fujiwara, Akiko Takeda, Takafumi Kanamori
    • Journal Title

      Neural Computation

      Volume: 印刷中

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Efficient DC Algorithm for Constrained Sparse Optimization2017

    • Author(s)
      Katsuya Tono, Akiko Takeda, Jun-ya Gotoh
    • Journal Title

      arXiv:1701.08498

      Volume: -

    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Robustness of learning algorithms using hinge loss with outlier indicators2017

    • Author(s)
      Kanamori Takafumi、Fujiwara Shuhei、Takeda Akiko
    • Journal Title

      Neural Networks

      Volume: 94 Pages: 173-191

    • DOI

      10.1016/j.neunet.2017.07.005

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-16K00044
  • [Journal Article] Solving the Trust-Region Subproblem by a Generalized Eigenvalue Problem2017

    • Author(s)
      Satoru Adachi, Satoru Iwata, Yuji Nakatsukasa, and Akiko Takeda
    • Journal Title

      SIAM Journal on Optimization

      Volume: 27 Issue: 1 Pages: 269-291

    • DOI

      10.1137/16m1058200

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Journal Article] Exact SDP Relaxations with Truncated Moment Matrix for Binary Polynomial Optimization Problems2017

    • Author(s)
      Shinsaku Sakaue, Akiko Takeda, Sunyoung Kim, Naoki Ito
    • Journal Title

      SIAM Journal on Optimization

      Volume: 印刷中

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Solving Generalized CDT Problems via Two-Parameter Eigenvalues2016

    • Author(s)
      Shinsaku Sakaue, Yuji Nakatsukasa, Akiko Takeda, and Satoru Iwata
    • Journal Title

      SIAM Journal on Optimization

      Volume: 26 Issue: 3 Pages: 1669-1694

    • DOI

      10.1137/15100624x

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Journal Article] Robust Cost Sensitive Support Vector Machine2015

    • Author(s)
      Shuichi Katsumata, Akiko Takeda
    • Journal Title

      JMLR Workshop and Conference Proceedings (JMLR W&CP)

      Volume: 38 Pages: 434-443

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Optimizing Over Coherent Risk Measures and Non-convexities: A Robust Mixed Integer Optimization Approach2015

    • Author(s)
      Dimitris Bertsimas, Akiko Takeda
    • Journal Title

      Computational Optimization and Applications

      Volume: 62 Issue: 3 Pages: 613-639

    • DOI

      10.1007/s10589-015-9755-3

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Geometric intuition and algorithms for Enu-SVM2015

    • Author(s)
      Alvaro Barbero, Akiko Takeda, Jorge Lopez
    • Journal Title

      Journal of Machine Learning Research

      Volume: 16 Pages: 323-369

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Outlier-Detection at the Transcriptome-Proteome Interface2015

    • Author(s)
      Yawwani Gunawardana, Shuhei Fujiwara, Akiko Takeda, Jeongmin Woo, Christopher Woelk, Mahesan Niranjan
    • Journal Title

      Bioinfomatics

      Volume: - Issue: 15 Pages: 2530-2536

    • DOI

      10.1093/bioinformatics/btv182

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-15K00031
  • [Journal Article] Computing the signed distance between overlapping ellipsoids2015

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda
    • Journal Title

      SIAM Journal on Optimization

      Volume: 25 Issue: 4 Pages: 2359-2384

    • DOI

      10.1137/140979654

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031, KAKENHI-PROJECT-26540007
  • [Journal Article] Robust Cost Sensitive Support Vector Machine2015

    • Author(s)
      Shuichi Katsumata, Akiko Takeda
    • Journal Title

      JMLR Workshop and Conference Proceedings

      Volume: 38 Pages: 434-443

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Journal Article] Memory-Efficient Large-Scale Linear Support Vector Machine2014

    • Author(s)
      Abdullah Alrajeh, Akiko Takeda, Mahesan Niranjan
    • Journal Title

      The 7th International Conference on Machine Vision (ICMV 2014)

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Outlier-Detecting Support Vector Regression for Modelling at the Transcriptome-Proteome Interface2014

    • Author(s)
      Yawwani Gunawardana, Shuhei Fujiwara, Akiko Takeda, Christopher Woelk, Mahesan Niranjan
    • Journal Title

      The Eighth International Workshop on Machine Learning in Systems Biology (MLSB 2014)

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Global Optimization Methods for Extended Fisher Discriminant Analysis2014

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda
    • Journal Title

      JMLR Workshop and Conference Proceedings

      Volume: 33 Pages: 411-419

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Journal Article] Using Financial Risk Measures for Analyzing Generalization Performance of Machine Learning Models2014

    • Author(s)
      Akiko Takeda, Takafumi Kanamori
    • Journal Title

      Neural Networks

      Volume: 57 Pages: 29-38

    • DOI

      10.1016/j.neunet.2014.05.006

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Global Optimization Methods for Extended Fisher Discriminant Analysis2014

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda
    • Journal Title

      JMLR Workshop and Conference Proceedings (JMLR W&CP)

      Volume: 33 Pages: 411-419

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Numerical Study of Learning Algorithms on Stiefel Manifold2014

    • Author(s)
      Takafumi Kanamori, Akiko Takeda
    • Journal Title

      Computational Management Science

      Volume: 11 Issue: 4 Pages: 319-340

    • DOI

      10.1007/s10287-013-0181-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-24500340
  • [Journal Article] Exact SVM Training by Wolfe's Minimum Norm Point Algorithm2014

    • Author(s)
      Masashi Kitamura, Akiko Takeda, Satoru Iwata
    • Journal Title

      Proceedings of 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014)

      Volume: - Pages: 1-6

    • DOI

      10.1109/mlsp.2014.6958914

    • NAID

      110009971427

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems2013

    • Author(s)
      Takafumi Kanamori, Akiko Takeda and Taiji Suzuki,
    • Journal Title

      Journal of Machine Learning Research

      Volume: 14 Pages: 1461-1504

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering2013

    • Author(s)
      Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama and Ichiro Takeuchi
    • Journal Title

      Advances in Neural Information Processing Systems

      Volume: 26 Pages: 1439-1447

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] A Unified Classification Model Based on Robust Optimization2013

    • Author(s)
      Akiko Takeda, Hiroyuki Mitsugi, and Takafumi Kanamori
    • Journal Title

      Neural Computation

      Volume: 25 Issue: 3 Pages: 759-804

    • DOI

      10.1162/neco_a_00412

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24500340
  • [Journal Article] 世の中の「困った」を助けるオペレーションズ・リサーチ2013

    • Author(s)
      武田朗子
    • Journal Title

      週刊金融財政事情

      Volume: 8月12日発売号

    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Simultaneous pursuit of out-of-sample performance and sparsity in tracking portfolio2013

    • Author(s)
      A.Takeda, M.Niranjan, J.Goto and Y.Kawahara
    • Journal Title

      Computational Management Science

      Volume: Vol.10, No.1 Issue: 1 Pages: 21-49

    • DOI

      10.1007/s10287-012-0158-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22700147, KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-23710176
  • [Journal Article] Robust Portfolio Techniques for Mitigating the Fragility of CVaR Minimization and Generalization to Coherent Risk Measures2013

    • Author(s)
      J. Gotoh, K. Shinozaki and A. Takeda
    • Journal Title

      Quantitative Finance

      Volume: - Issue: 10 Pages: 1621-1635

    • DOI

      10.1080/14697688.2012.738930

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-23710176
  • [Journal Article] Economic and Environmental Analysis of Photovoltaic Energy Systems via Robust Optimization2013

    • Author(s)
      Shimpei Okido and Akiko Takeda
    • Journal Title

      Energy Systems

      Volume: - Issue: 3 Pages: 239-266

    • DOI

      10.1007/s12667-013-0077-1

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Non-Convex Optimization on Stiefel Manifold and Applications to Machine Learning2012

    • Author(s)
      Takafumi Kanamori and Akiko Takeda
    • Journal Title

      Neural Information Processing, Lecture Notes in Computer Science

      Volume: 7663 Pages: 109-116

    • DOI

      10.1007/978-3-642-34475-6_14

    • ISBN
      9783642344749, 9783642344756
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems2012

    • Author(s)
      T. Kanamori, A. Takeda, and T. Suzuki
    • Journal Title

      Journal of Machine Learning Research - Proceedings Track

      Volume: - Pages: 29-23

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Minimizing Loss Probability Bounds for Portfolio Selection2012

    • Author(s)
      Jun-ya Gotoh and Akiko Takeda
    • Journal Title

      European Journal of Operational Research

      Volume: 217 Issue: 2 Pages: 371-380

    • DOI

      10.1016/j.ejor.2011.09.012

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-23710176
  • [Journal Article] A Unified Robust Classification Model2012

    • Author(s)
      Akiko Takeda, Hiroyuki Mitsugi, and Takafumi Kanamori
    • Journal Title

      Proceedings of the 29th International Conference on Machine Learning

      Volume: - Pages: 129-136

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] Worst-Case Violation of Sampled Convex Programs for Optimization with Uncertainty2012

    • Author(s)
      Takafumi Kanamori and Akiko Takeda
    • Journal Title

      Journal of Optimization Theory and Applications

      Volume: 152 Issue: 1 Pages: 171-197

    • DOI

      10.1007/s10957-011-9923-2

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Journal Article] On the Role of Norm Constraints in Portfolio Selection2011

    • Author(s)
      Jun-ya Gotoh and Akiko Takeda
    • Journal Title

      Computational Management Science

      Volume: 8 Issue: 4 Pages: 323-353

    • DOI

      10.1007/s10287-011-0130-2

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710174, KAKENHI-PROJECT-23710176
  • [Journal Article] 最適化におけるロバストネス2011

    • Author(s)
      武田朗子
    • Journal Title

      システム/制御/情報

      Volume: 55(4) Pages: 129-134

    • NAID

      130005025577

    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Relaxation Algorithm with a Probabilistic Guarantee for Robust Deviation Optimization2010

    • Author(s)
      A.Takeda, S.Taguchi, T.Tanaka
    • Journal Title

      Computational Optimization and Applications 47(1)

      Pages: 1-31

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Support Vector Regression as Conditional Value-at-Risk Minimization with Application to Financial Time-series Analysis2010

    • Author(s)
      Akiko Takeda, Jun-ya Gotoh, Masashi Sugiyama
    • Journal Title

      Proceedings of 2010 IEEE International Workshop on Machine Learning for Signal Processing

      Pages: 118-123

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Relaxation Algorithm with a Probabilistic Guarantee for Robust Deviation Optimization2010

    • Author(s)
      Akiko Takeda, Shunsuke Taguchi, Tsutomu Tanaka
    • Journal Title

      Computational Optimization and Applications

      Volume: 47(1) Pages: 1-31

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Approach Based on Conditional Value-at-Risk Measure to Statistical Learning Problems2009

    • Author(s)
      A. Takeda, T. Kanamori
    • Journal Title

      European Journal of Operational Research Vol.198

      Pages: 287-296

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] Generalization Performance of nu-Support Vector Classifier Based on Conditional Value-at-Risk Minimization2009

    • Author(s)
      A.Takeda
    • Journal Title

      Neurocomputing 72(10-12)

      Pages: 2351-2358

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Generalization Performance of nu-Support Vector Classifier Based on Conditional Value-at-Risk Minimization2009

    • Author(s)
      A. Takeda
    • Journal Title

      Neurocomputing Vol.72

      Pages: 2351-2358

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] A Robust Approach Based on Conditional Value-at-Risk Measure to Statistical Learning Problems2009

    • Author(s)
      A.Takeda, T.Kanamori
    • Journal Title

      European Journal of Operational Research 198(1)

      Pages: 287-296

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Robust Optimization Approach Based on Conditional Value-at-Risk Measure and its Applications to Statistical Learning Problems2009

    • Author(s)
      A. Takeda, T. Kanamori
    • Journal Title

      European Journal of Operational Research (掲載確定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] On Generalization Performance and non-convex optimization of extended nu-Support Vector Machine2009

    • Author(s)
      A. Takeda, M. Sugiyama
    • Journal Title

      New Generation Computing Vol.27

      Pages: 259-279

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] Generalization Performance of nu-Support Vector Classifier Based on Conditional Value-at-Risk Minimization2009

    • Author(s)
      Akiko Takeda
    • Journal Title

      Neurocomputing 72

      Pages: 2351-2358

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Robust Approach Based on Conditional Value-at-Risk Measure to Statistical Learning Problems2009

    • Author(s)
      A. Takeda, T. Kanamori
    • Journal Title

      European Journal of Operational Research 198(1)

      Pages: 287-296

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Relaxation Algorithm with Probabilistic Guarantee for Robust Deviation Optimization Problems2009

    • Author(s)
      A. Takeda, S. Taguchi, T. Tanaka
    • Journal Title

      Computational Optimization and Applications (掲載決定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] On generalization performance and non-convex optimization of extendedν-support vector machine2009

    • Author(s)
      A. Takeda, M. Sugiyama
    • Journal Title

      New Generation Computing 27

      Pages: 259-279

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Robust Approach Based on Conditional Value-at-Risk Measure to Statistical Learning Problems2009

    • Author(s)
      Akiko Takeda, Takafumi Kanamori
    • Journal Title

      European Journal of Operational Research 198

      Pages: 287-296

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Generalization Performance of n-Support Vector Classification Based on Conditional Value-at-Risk Minimization2009

    • Author(s)
      A. Takeda
    • Journal Title

      Neurocomputing (掲載確定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] On generalization performance and non-convex optimization of extended ν-support vector machine2009

    • Author(s)
      A.Takeda, M.Sugiyama
    • Journal Title

      New Generation Computing 27

      Pages: 259-279

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Generalization Performance of nu-Support Vector Classifier Based on Conditional Value-at-Risk Minimization2009

    • Author(s)
      A. Takeda
    • Journal Title

      Neurocomputing 72(10-12)

      Pages: 2351-2358

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] On generalization performance and non-convex optimization of extended \nu-support vector machine2009

    • Author(s)
      Akiko Takeda, Masashi Sugiyama
    • Journal Title

      New Generation Computing 27

      Pages: 259-279

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Conditional Minimum Volume Ellipsoid with Applications to Multiclass Discrimination2008

    • Author(s)
      J. Gotoh, A. Takeda
    • Journal Title

      Computational Optimization and Applications 41(1)

      Pages: 27-51

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] ν-Support Vector Machine as Conditional Value-at-Risk Minimization2008

    • Author(s)
      A. Takeda, M. Sugiyama
    • Journal Title

      Proceedings of the 25th International Conference on Machine Learning (ICML 2008)

      Pages: 1056-1063

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] A Modified Algorithm for Nonconvex Support Vector Classification2008

    • Author(s)
      A. Takeda
    • Journal Title

      Proceedings of the International Conference on Artificial Intelligence and Applications (AIA 2008)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Adjustable Robust Optimization Models for a Nonlinear Two-Period System2008

    • Author(s)
      A. Takeda, S. Taguchi, R.H. Tutuncu
    • Journal Title

      Journal of Optimization Theory and Applications Vol.136

      Pages: 275-295

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] Conditional Minimum Volume Ellipsoid with Applications to Subset Selection for MVE Estimator and Multiclass Discrimination2008

    • Author(s)
      J. Gotoh, A. Takeda
    • Journal Title

      Computational Optimization and Applications Vol.41

      Pages: 27-51

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] Adjustable Robust Optimization Models for a Nonlinear I Two-Period System2008

    • Author(s)
      A. Takeda, S. Taguchi, R.H. Tutuncu
    • Journal Title

      Journal of Optimization Theory and Applications 136(2)

      Pages: 275-295

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Conditional Minimum Volume Ellipsoid with Applications to Multiclass Discrimination2008

    • Author(s)
      J.Gotoh, A.Takeda
    • Journal Title

      Computational Optimization and Applications 41(1)

      Pages: 27-51

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] v-Support Vector Machine as Conditional Value-at-Risk Minimization2008

    • Author(s)
      A. Takeda, M. Sugiyama
    • Journal Title

      Proceedings of the 25th International Conference on Machine Learning(ICML 2008)

      Pages: 1056-1063

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Dynamic Enumeration of All Mixed Cells2007

    • Author(s)
      T.Mizutani, A.Takeda, M.Kojima
    • Journal Title

      Discrete and Computational Geometry 37・3

      Pages: 351-367

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] ロバスト最適化問題への確率的アプローチ2007

    • Author(s)
      武田朗子
    • Journal Title

      第19回RAMPシンポジウム論文集

      Pages: 163-176

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Dynamic Enumeration of All Mixed Cells2007

    • Author(s)
      T. Mizutani, A. Takeda, M. Kojima
    • Journal Title

      Discrete and Computational Geometry 37(3)

      Pages: 351-367

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Dynamic Enumeration of All Mixed Cells2007

    • Author(s)
      T. Mizutani, A. Takeda, M. Kojima
    • Journal Title

      Discrete and Computational Geometry Vol.37(3)

      Pages: 351-367

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] ロバスト最適化問題への確率的アプローチ2007

    • Author(s)
      武田朗子
    • Journal Title

      RAMPシンポジウム論文集 19

      Pages: 163-176

    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] 不確実な電力事業環境下における設備投資計画手法2005

    • Author(s)
      武田朗子, 内平直志, 中本政志, 松本茂
    • Journal Title

      日本経営工学会論文誌 56・5

      Pages: 366-376

    • Data Source
      KAKENHI-PROJECT-16016234
  • [Journal Article] A Linear Classification Model Based on Conditional Geometric Score2005

    • Author(s)
      Jun-ya Gotoh, Akiko Takeda
    • Journal Title

      Pacific Journal of Optimization 1・2

      Pages: 277-296

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] 不確実な電力事業環境下における設備投資計画手法2005

    • Author(s)
      武田朗子, 内平直志, 中本政志, 松本茂
    • Journal Title

      日本経営工学会論文誌 56

      Pages: 366-376

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] A Linear Classification Model Based on Conditional Geometric Score2005

    • Author(s)
      J.Gotoh, A.Takeda
    • Journal Title

      Pacific Journal of Optimization 1・2(印刷中)

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] A Linear Classification Model Based on Conditional Geometric Score2005

    • Author(s)
      J.Gotoh, A.Takeda
    • Journal Title

      Pacific Journal of Optimization 1・2

      Pages: 277-296

    • Data Source
      KAKENHI-PROJECT-16016234
  • [Journal Article] PHoM - a Polyhedral Homotopy Continuation Method2004

    • Author(s)
      T.Gunji, S.Kim, M.Kojima, A.Takeda, K.Fujisawa, T.Mizutani
    • Journal Title

      Computing 73

      Pages: 57-77

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] Solving Large Scale Optimization Problems via Grid and Cluster Computing2004

    • Author(s)
      K.Fujisawa, M.Kojima, A.Takeda, M.Yamashita
    • Journal Title

      Journal of the Operations Research Society of Japan 47

      Pages: 265-274

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] A Multilevel Parallelized Hybrid Branch and Bound Algorithm for Quadratic Optimization2004

    • Author(s)
      C.Vo, A.Takeda, M.Kojima
    • Journal Title

      IPSJ Transactions on Advanced Computing Systems 45

      Pages: 186-196

    • Data Source
      KAKENHI-PROJECT-16710110
  • [Journal Article] Adjustable Robust Optimization Models for a Nonlinear Two-Period System

    • Author(s)
      A. Takeda
    • Journal Title

      Journal of Optimization Theory and Applications (掲載決定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] A Relaxation Algorithm with a Probabilistic Guarantee for Robust Deviation Optimization

    • Author(s)
      A. Takeda, S. Taguchi
    • Journal Title

      Computational Optimization and Applications (掲載決定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] A Relaxation Algorithm with a Probabilistic Guarantee for Robust Deviation Optimization

    • Author(s)
      A. Takeda, S. Taguchi, T. Tanaka
    • Journal Title

      Computational Optimization and Applications (掲載予定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Adjustable Robust Optimization Models for a Nonlinear Two-Period System

    • Author(s)
      A. Takeda, S. Taguchi, E. Tutuncu
    • Journal Title

      Journal of Optimization Theory and Applications In press

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] Conditional Minimum Volume Ellipsoid with Applications to Subset Selectionfor MVE Estimator and Multiclass Discrimination

    • Author(s)
      J. Gotoh, A. Takeda
    • Journal Title

      Computational Optimization and Applications In press

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] DEMiCs: A software package for computing the mixed volume via dynamic enumeration of all mixed cells

    • Author(s)
      T. Mizutani and A. Takeda
    • Journal Title

      IMA Volumes on "Software for algebraic geometry In press

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Journal Article] A Modified Algorithm for Nonconvex Support Vector Classification

    • Author(s)
      A. Takeda
    • Journal Title

      Proceedings of the International Conference on Artificial Intelligence and Applications (掲載決定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Journal Article] A Modified Algorithm for Nonconvex Support Vector Classification

    • Author(s)
      A. Takeda
    • Journal Title

      Proceedings of the International Conference on Artificial Intelligence and Applications (掲載決定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Random subspace optimization methods for large-scale optimiztion problems2024

    • Author(s)
      Akiko Takeda
    • Organizer
      NUS Seminar, National University of Singapore (Singapore, Singapore)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28041
  • [Presentation] Random subspace optimization methods for large-scale optimiztion problems2024

    • Author(s)
      Akiko Takeda
    • Organizer
      NUS Seminar, National University of Singapore (Singapore, Singapore)
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Random subspace optimization methods for large-scale optimization problems2024

    • Author(s)
      Akiko Takeda
    • Organizer
      Deep Learning (DL 2024) workshop
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28041
  • [Presentation] Applying Random projection techniques to nonconvex optimization problems2023

    • Author(s)
      Akiko Takeda
    • Organizer
      ZIB-AISST Seminar, The Zuse Institut Berlin (Berlin, Germany)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28041
  • [Presentation] Bi/trilevel Optimization Approach for Hyperparameter Selection2023

    • Author(s)
      Akiko Takeda
    • Organizer
      The SIAM Conference on Optimization (OP23), The Sheraton Grand Seattle (Seattle, Washington, U.S.)
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Bi/trilevel Optimization Approach for Hyperparameter Selection2023

    • Author(s)
      Akiko Takeda
    • Organizer
      The SIAM Conference on Optimization (OP23), The Sheraton Grand Seattle (Seattle, Washington, U.S.)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28041
  • [Presentation] Applying Random projection techniques to nonconvex optimization problems2023

    • Author(s)
      Akiko Takeda
    • Organizer
      Mini Workshop on Optimization, University of Southampton (Southampton, United Kimgdom)
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Difference-of-Convex Approach for Nonconvex Nonsmooth Optimization Problems2021

    • Author(s)
      Akiko Takeda
    • Organizer
      5th ZIB-RIKEN-IMI-ISM MODAL Workshop on Optimization, Data Analysis and HPC in AI
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Deterministic and Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2020

    • Author(s)
      Akiko Takeda
    • Organizer
      Variational Analysis and Optimisation Webinar series
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Presentation] Deterministic and Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2020

    • Author(s)
      Akiko Takeda
    • Organizer
      Variational Analysis and Optimisation Webinar series
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] 不確実性下での最適化手法: ロバスト最適化法の紹介2020

    • Author(s)
      武田朗子
    • Organizer
      第 41 回 IBISML 研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Efficient DC algorithm for nonconvex sparse optimization problems2019

    • Author(s)
      Akiko Takeda
    • Organizer
      International Conference on Optimization: Techniques and Applications (NACA-ICOTA2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Efficient DC Algorithm for Nonconvex Nonsmooth Optimization Problems2019

    • Author(s)
      Akiko Takeda
    • Organizer
      Faculty Seminar, Southwest Jiaotong University
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC Algorithm for Nonconvex Nonsmooth Optimization Problems2019

    • Author(s)
      Akiko Takeda
    • Organizer
      Faculty Seminar, Southwest Jiaotong University
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] 世の中の「困った」を解決する数学:数理最適化法の紹介2019

    • Author(s)
      武田朗子
    • Organizer
      RDC展 2019, 東芝研究開発センター
    • Invited
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Group Lasso for Household Energy Consumption Prediction and Toward Nonconvex Regularizer2019

    • Author(s)
      Akiko Takeda
    • Organizer
      The PolyU AMA - RIKEN AIP Joint Workshop on Optimization and Machine Learning
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Presentation] Group Lasso for Household Energy Consumption Prediction and Toward Nonconvex Regularizer2019

    • Author(s)
      Akiko Takeda
    • Organizer
      The PolyU AMA - RIKEN AIP Joint Workshop on Optimization and Machine Learning,
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] 世の中の「困った」を解決する数学:数理最適化法の紹介2019

    • Author(s)
      武田朗子
    • Organizer
      RDC展 2019, 東芝研究開発センター
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] DC Formulations and Algorithms for Sparse Optimization Problems2019

    • Author(s)
      Akiko Takeda
    • Organizer
      the Sixth International Conference on Continuous Optimization (ICCOPT 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Nonconvex Quadratic Optimization with One or Two Constraints2019

    • Author(s)
      Akiko Takeda
    • Organizer
      National Taiwan Normal University
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Presentation] DC Formulations and Algorithms for Sparse Optimization Problems2019

    • Author(s)
      Akiko Takeda
    • Organizer
      the Sixth International Conference on Continuous Optimization (ICCOPT 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04069
  • [Presentation] Efficient DC algorithm for nonconvex sparse optimization problems2019

    • Author(s)
      kiko Takeda, Jun-ya Gotoh, Katsuya Tono
    • Organizer
      International Conference on Optimization: Techniques and Applications
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Presentation] Nonconvex Sparse Optimization by Proximal Difference-of-convex Algorithm2019

    • Author(s)
      Akiko Takeda
    • Organizer
      2019 Optimization Workshop
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC algorithm for nonconvex sparse optimization problems2019

    • Author(s)
      Akiko Takeda
    • Organizer
      International Conference on Optimization: Techniques and Applications (NACA-ICOTA2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Group Lasso for Household Energy Consumption Prediction and Toward Nonconvex Regularizer2019

    • Author(s)
      Akiko Takeda
    • Organizer
      The PolyU AMA - RIKEN AIP Joint Workshop on Optimization and Machine Learning,
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] ロバスト最適化法の教師あり機械学習への適用2018

    • Author(s)
      武田朗子
    • Organizer
      IEICE-MSS,CAS IPSJ-AL 共催研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Nonconvex Sparse Optimization by DC Algorithm2018

    • Author(s)
      Akiko Takeda
    • Organizer
      7th International Conference on Control and Optimization with Applications (7thOCA)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Nonconvex Sparse Optimization by Proximal Difference-of-convex Algorithm2018

    • Author(s)
      Akiko Takeda
    • Organizer
      Chile- Japan Academic Forum 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC Algorithm for Nonconvex Nonsmooth Optimization Problems2018

    • Author(s)
      Akiko Takeda
    • Organizer
      Tokyo Deep Learning Workshop 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Household energy consumption prediction by feature selection of lifestyle data2018

    • Author(s)
      Akiko Takeda
    • Organizer
      CURENT SLC Seminar, The University of Tennessee
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC Algorithm for constrained sparse optimization problems2018

    • Author(s)
      Akiko Takeda
    • Organizer
      23rd International Symposium on Mathematical Programming (ISMP 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC Algorithm for Nonconvex Nonsmooth Optimization Problems2018

    • Author(s)
      Akiko Takeda
    • Organizer
      Georgia Tech and Friedrich-Alexander-Universitat Workshop 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] スパース最適化手法の紹介とエネルギー需要予測への適用2018

    • Author(s)
      武田朗子
    • Organizer
      計測自動制御学会,モデルベース ト制御における機械学習とダイナミクスの融合 調査研究会 (DML 研究会)
    • Invited
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Hyperparameter Learning via Bilevel Nonsmooth Optimization2018

    • Author(s)
      Akiko Takeda
    • Organizer
      The Workshop on Variational Analysis and Stochastic Optimization
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Presentation] Hyperparameter Learning via Bilevel Nonsmooth Optimization2018

    • Author(s)
      Akiko Takeda
    • Organizer
      The Workshop on Vari- ational Analysis and Stochastic Optimization
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] 電力需要予測への機械学習法の適用2017

    • Author(s)
      高松 瑞代, 武田 朗子, 岩田 覚
    • Organizer
      日本オペレーションズ・リサーチ 学会 2017 年春季研究発表会
    • Place of Presentation
      沖縄県市町村自治会館, 那覇市, 沖縄県
    • Year and Date
      2017-03-15
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Proximal DC Algorithm for Sparse Optimization2017

    • Author(s)
      Akiko Takeda
    • Organizer
      France / Japan Machine Learning Workshop
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] DC Formulations and Algorithms for Sparse Optimization Problems2017

    • Author(s)
      Akiko Takeda, Katsuya Tono, Jun-ya Gotoh
    • Organizer
      ECS Department Seminar
    • Place of Presentation
      University of Southampton, Southampton, UK
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Proximal DC Algorithm for Sparse Optimization2017

    • Author(s)
      Akiko Takeda
    • Organizer
      SIAM Conference on Optimization
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] 実用的な加速近接勾配法の実装2017

    • Author(s)
      伊藤 直紀, 武田 朗子, Kim-Chuan Toh
    • Organizer
      日本オペレーションズ・リサーチ 学会 2017 年春季研究発表会
    • Place of Presentation
      沖縄県市町村自治会館, 那覇市, 沖縄県
    • Year and Date
      2017-03-15
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Nonconvex Quadratic Optimization with One or Two Constraints2017

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Shinsaku Sakaue, Akiko Takeda
    • Organizer
      CORMSIS Seminar
    • Place of Presentation
      University of Southampton, Southampton, UK
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC Algorithm for Sparse Optimization2017

    • Author(s)
      Akiko Takeda
    • Organizer
      Workshop on Recent Development in Optimization, National Graduate Institute for Policy Studies
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] 非凸二次計画問題に対する凸二次緩和反復解法2017

    • Author(s)
      山田 慎二, 武田 朗子
    • Organizer
      日本オペレーションズ・リサーチ 学会 2017 年春季研究発表会
    • Place of Presentation
      沖縄県市町村自治会館, 那覇市, 沖縄県
    • Year and Date
      2017-03-15
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Household Energy Consumption Prediction by Feature Selection of Lifestyle Data2017

    • Author(s)
      Akiko Takeda
    • Organizer
      the 2nd ISM-ZIB-IMI MODAL Workshop on Mathematical Optimization and Data Analysis
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] 数理最適化の視点から機械学習の紹介2017

    • Author(s)
      武田朗子
    • Organizer
      金沢数理データサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] ライフスタイルデータの特徴選択による電力消費モデル2017

    • Author(s)
      西田 光甫, 武田 朗子, 岩田 覚, 木方 真理子, 中山 功
    • Organizer
      日本オペレーションズ・リサーチ 学会 2017 年春季研究発表会
    • Place of Presentation
      沖縄県市町村自治会館, 那覇市, 沖縄県
    • Year and Date
      2017-03-15
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Proximal DC Algorithm for Sparse Optimization2017

    • Author(s)
      Akiko Takeda
    • Organizer
      Seminar, Vrije Universiteit Brussel
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Efficient DC Algorithm for Sparse Optimization2017

    • Author(s)
      Akiko Takeda, Katsuya Tono, Jun-ya Gotoh
    • Organizer
      Numerical Analysis Group Internal Seminar University of Oxford
    • Place of Presentation
      University of Oxford, Oxford, UK
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Nonconvex Quadratic Optimization with One or Two Constraints2017

    • Author(s)
      Akiko Takeda
    • Organizer
      Colloquium at Department of Applied Mathematics, The Hong Kong Polytechnic University
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01699
  • [Presentation] Robustness in Optimization under Uncertainty2016

    • Author(s)
      Akiko Takeda
    • Organizer
      Doctoral course in Machine Learning Group (GAA), Universidad Autonoma de Madrid
    • Place of Presentation
      Universidad Autonoma de Madrid, Madrid, Spain
    • Year and Date
      2016-03-15
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] DC Formulations and Algorithms for Sparse Optimization Problems2016

    • Author(s)
      Jun-ya Gotoh, Akiko Takeda, Katsuya Tono
    • Organizer
      Research Seminar of computer engineering and telecommunications
    • Place of Presentation
      Universidad Autonoma de Madrid, Madrid, Spain
    • Year and Date
      2016-03-14
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] A Fast Approximation Method for Nonconvex Quadratic Optimizations with Few Constraints2016

    • Author(s)
      Shinji Yamada, Akiko Takeda
    • Organizer
      the Fifth International Conference on Continuous Optimization (ICCOPT 2016)
    • Place of Presentation
      National Graduate Institute for Policy Studies, Minato-ku, Tokyo
    • Year and Date
      2016-08-06
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] 二値変数多項式最適化の縮小Lasserre hierarchy2016

    • Author(s)
      坂上 晋作, 武田 朗子, Kim Sunyoung, 伊藤直紀
    • Organizer
      研究集会「最適化:モデリングとアルゴリズム」
    • Place of Presentation
      政策研究大学院大学, 港区,東京都
    • Year and Date
      2016-03-22
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] DC計画法によるスパース最適化2016

    • Author(s)
      後藤 順哉,武田 朗子,東野 克哉
    • Organizer
      日本オペレーションズ・リサーチ学会 2016年春季研究発表会
    • Place of Presentation
      慶應義塾大学 矢上キャンパス,横浜市, 神奈川県
    • Year and Date
      2016-03-17
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] A Link between DC Algorithms and Proximal Gradient Methods2016

    • Author(s)
      Katsuya Tono, Akiko Takeda, Jun-ya Gotoh
    • Organizer
      the Fifth International Conference on Continuous Optimization (ICCOPT 2016)
    • Place of Presentation
      National Graduate Institute for Policy Studies, Minato-ku, Tokyo
    • Year and Date
      2016-08-06
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] 二値変数多項式最適化の縮小Lasserre hierarchy2016

    • Author(s)
      坂上 晋作, 武田 朗子, Kim Sunyoung, 伊藤直紀
    • Organizer
      日本応用数理学会 第12回 研究部会連合発表会
    • Place of Presentation
      神戸学院大学 ポートアイランドキャンパス, 神戸市, 兵庫県
    • Year and Date
      2016-03-04
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Exact SDP Relaxations with Truncated Moment Matrix for Binary Polynomial Optimization Problems2016

    • Author(s)
      Shinsaku Sakaue, Akiko Takeda, Sunyoung Kim, Naoki Ito
    • Organizer
      the Fifth International Conference on Continuous Optimization (ICCOPT 2016)
    • Place of Presentation
      National Graduate Institute for Policy Studies, Minato-ku, Tokyo
    • Year and Date
      2016-08-06
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] A Unified Classification Algorithm Based on Accelerated Proximal Gradient Methods2015

    • Author(s)
      Akiko Takeda, Naoki Ito, Kim Chuan Toh
    • Organizer
      INFORMS Annual Meeting
    • Place of Presentation
      Pennsylvania Convention Center and adjacent Philadelphia Marriott Downtown Hotel in Center City Philadelphia, Philadelphia, USA
    • Year and Date
      2015-11-01
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] スパース正則化に対するDCアルゴリズム2015

    • Author(s)
      後藤 順哉,武田 朗子, 東野 克哉
    • Organizer
      第18回情報論的学習理論ワークショップ (IBIS2015)
    • Place of Presentation
      つくば国際会議場,つくば市,茨城県
    • Year and Date
      2015-11-25
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Optimizing Over Coherent Risk Measures for Binary Classification2015

    • Author(s)
      Dimitris Bertsimas, Akiko Takeda
    • Organizer
      The 22nd International Symposium of Mathematical Programming (ISMP2015)
    • Place of Presentation
      Wyndham Grand Pittsburgh Downtown, Pittsburgh, USA
    • Year and Date
      2015-07-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] A Polynomial-Time Algorithm for Nonconvex Quadratic Optimization with Two Quadratic Constraints2015

    • Author(s)
      Shinsaku Sakaue, Yuji Nakatsukasa, Akiko Takeda, and Satoru Iwata
    • Organizer
      The 22nd International Symposium on Mathematical Programming
    • Place of Presentation
      Pittsburgh, USA
    • Year and Date
      2015-07-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Presentation] 非凸二次最適化の二値判別への応用2015

    • Author(s)
      武田 朗子
    • Organizer
      第26回統計的機械学習セミナー
    • Place of Presentation
      統計数理研究所,東京都立川市
    • Year and Date
      2015-09-11
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Presentation] 簡素な制約を持つ凸最適化問題の解法とその応用2015

    • Author(s)
      伊藤 直紀, 武田朗子, Kim Chuan Toh
    • Organizer
      WOO@つくば 未来を担う若手研究者の集い 2015
    • Place of Presentation
      筑波大学,つくば市,茨城県
    • Year and Date
      2015-05-30
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Solving the trust-region subproblem by a generalized eigenvalue problem2015

    • Author(s)
      Satoru Adachi, Satoru Iwata, Yuji Nakatsukasa, and Akiko Takeda
    • Organizer
      The 22nd International Symposium on Mathematical Programming
    • Place of Presentation
      Pittsburgh, USA
    • Year and Date
      2015-07-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Presentation] ベースロード電源の負荷追従運転を考慮した再生可能エネルギーのロバスト設備投資計画問題2015

    • Author(s)
      松永 龍弥, 小西 隆介, 高橋 正樹, 武田 朗子
    • Organizer
      第58回自動制御連合講演会
    • Place of Presentation
      神戸大学, 神戸市, 兵庫県
    • Year and Date
      2015-11-14
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] DC Formulations and Algorithms for Sparse Optimization Problems2015

    • Author(s)
      Akiko Takeda
    • Organizer
      Workshop on Systems Management and Control
    • Place of Presentation
      筑波大学 東京キャンパス,文京区,東京都
    • Year and Date
      2015-12-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Proximal DC algorithm for Sparse Optimization2015

    • Author(s)
      Jun-ya Gotoh, Akiko Takeda, Katsuya Tono
    • Organizer
      Iternational Meeting on High-Dimensional Data Driven Science (HD3-2015)
    • Place of Presentation
      メルパルク京都,京都市,京都府
    • Year and Date
      2015-12-14
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00031
  • [Presentation] Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering2013

    • Author(s)
      Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama and Ichiro Takeuchi
    • Organizer
      The Neural Information Processing Systems (NIPS2013)
    • Place of Presentation
      Nevada, USA
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Global Optimization Methods for Extended Fisher Discriminant Analysis2013

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda
    • Organizer
      AISTAT 2013
    • Place of Presentation
      Scottsdale, AZ, USA
    • Data Source
      KAKENHI-PROJECT-25242031
  • [Presentation] 太陽光発電システム導入に対するロバスト最適化の適用2012

    • Author(s)
      武田朗子, 大城戸慎平
    • Organizer
      シンポジウム 「数理最適化の40年と今後の展開」(招待講演)
    • Place of Presentation
      東京工業大学(東京都)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] A Unified Classification Model Based on Robust Optimization2012

    • Author(s)
      Akiko Takeda, Hiroyuki Mitsugi and Takafumi Kanamori
    • Organizer
      INFORMS Optimization Society Conference 2012
    • Place of Presentation
      University of Miami Scool of Business Administration(Coral Gables, Florida)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] A Unified Classification Model Based on Robust Optimization2011

    • Author(s)
      Akiko Takeda and Hiroyuki Mitsugi
    • Organizer
      19th Triennial Conference of the International Federation of Operational Research Societies (IFORS 2011)
    • Place of Presentation
      Melbourne Convention and Exhibition Centre (Melbourne, Australia)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] 不確実性を考慮した最適化手法:ロバスト最適化法2011

    • Author(s)
      武田朗子
    • Organizer
      システム制御情報チュートリアル講座2011(招待講演)
    • Place of Presentation
      常翔学園 大阪センター(大阪府)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] ロバスト最適化法の機械学習への適用2011

    • Author(s)
      武田朗子
    • Organizer
      第23回 RAMPシンポジウム(招待講演)
    • Place of Presentation
      関西大学 (大阪府)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Applying Robust Optimization to Binary Classification2011

    • Author(s)
      Akiko Takeda
    • Organizer
      Research Seminars at Universidad Autonoma de Madrid
    • Place of Presentation
      Universidad Autonoma de Madrid (Madrid, Spain)
    • Year and Date
      2011-03-10
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 数理最適化の視点から機械学習へのアプローチ2011

    • Author(s)
      武田朗子
    • Organizer
      最適化理論の産業・ 諸科学への応用
    • Place of Presentation
      九州大学マス・フォア・インダストリ研究所(福岡県)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] 不確実な最適化問題に対するロバスト最適化2011

    • Author(s)
      武田朗子
    • Organizer
      第14回情報論的学習理論ワークショップ (IBIS2011)(招待講演)
    • Place of Presentation
      奈良女子大学(奈良県)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Robust Optimization Model for Installing Photovoltaic System2011

    • Author(s)
      Shimpei Okido and Akiko Takeda
    • Organizer
      19th Triennial Conference of the International Federation of Operational Research Societies (IFORS 2011)
    • Place of Presentation
      Melbourne Convention and Exhibition Centre (Melbourne, Australia)
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] global optimization algorithm for nonconvex SVM2010

    • Author(s)
      Akiko Takeda
    • Organizer
      Research Seminars at Max Planck Institute for Biological Cybernetics
    • Place of Presentation
      Max Planck Institute for Biological Cybernetics (Tuebingen, Germany)
    • Year and Date
      2010-08-24
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Support Vector Machine as Conditional Value-at-Risk Minimization2010

    • Author(s)
      Akiko Takeda
    • Organizer
      Research Seminars at University of Southampton
    • Place of Presentation
      University of Southampton (Southampton, UK)
    • Year and Date
      2010-10-01
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 太陽光発電システム導入計画に対するロバスト最適化モデル2010

    • Author(s)
      大城戸慎平(発表者), 武田朗子
    • Organizer
      電気学会 電力・エネルギー部門大会
    • Place of Presentation
      九州大学 (福岡県福岡市)
    • Year and Date
      2010-09-01
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Support Vector Regression as Conditional Value-at-Risk Minimization with Application to Financial Time-series Analysis2010

    • Author(s)
      A.Takeda, J.Gotoh, M.Sugiyama
    • Organizer
      2010 IEEE International Workshop on Machine Learning for Signal Processing
    • Place of Presentation
      Kittila, Finland
    • Year and Date
      2010-08-31
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Support Vector Regression as Conditional Value-at-Risk Minimization with Application to Financial Time-series Analysis2010

    • Author(s)
      Akiko Takeda, Jun-ya Gotoh, Masashi Sugiyama
    • Organizer
      2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
    • Place of Presentation
      Levi Summit conference and exhibition center (Kittila, Finland)
    • Year and Date
      2010-08-31
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] On Measuring the Inefficiency with the Inner-Product Norm in Data Envelopment Analysis2009

    • Author(s)
      武田朗子, 西野寿一
    • Organizer
      日本OR学会「評価のOR」研究部会
    • Place of Presentation
      政策研究大学院大学
    • Year and Date
      2009-12-19
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] CVaR最小化に基づくサポートベクターマシン2009

    • Author(s)
      武田朗子
    • Organizer
      日本オペレーションズ・リサーチ学会研究部会「若手によるOR横断研究」
    • Place of Presentation
      京都大学
    • Year and Date
      2009-06-20
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Support Vector Machineの汎化能力について2009

    • Author(s)
      武田朗子
    • Organizer
      計算による数理科学の展開
    • Place of Presentation
      神戸大学
    • Year and Date
      2009-01-08
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 数理最適化から機械学習へのアプローチ2009

    • Author(s)
      武田朗子
    • Organizer
      第3回NECデータマイニングセミナー
    • Place of Presentation
      NEC知的資産R&Dユニット中央研究所
    • Year and Date
      2009-05-18
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 役に立つ(かもしれない)最適化法2009

    • Author(s)
      武田朗子
    • Organizer
      JST CREST GROBNER SCHOOL
    • Place of Presentation
      神戸大学
    • Year and Date
      2009-09-18
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Non-convex Optimization of Extended nu-Support Vector Machine2009

    • Author(s)
      Akiko Takeda, Masashi Sugiyama
    • Organizer
      The 20th International Symposium of Mathematical Programming (ISMP2009)
    • Place of Presentation
      Chicago, USA
    • Year and Date
      2009-08-24
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 機械学習で使われる最適化手法の紹介2009

    • Author(s)
      武田朗子
    • Organizer
      日本オペレーションズ・リサーチ学会春季研究発表会
    • Place of Presentation
      筑波大学
    • Year and Date
      2009-03-18
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 数理最適化から機械学習へのアプローチ2009

    • Author(s)
      武田朗子
    • Organizer
      第3回NECデータマイニングセミナー
    • Place of Presentation
      NEC知的資産R&Dユニット中央研究所, 神奈川県川崎市
    • Year and Date
      2009-05-18
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Non-convex Optimization of Extended nu-Support Vector Machine2009

    • Author(s)
      A. Takeda, M. Sugiyama
    • Organizer
      The 20th International Symposium of Mathematical Programming (ISMP)
    • Place of Presentation
      Chicago, IL, USA
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Non-convex Optimization of Extended nu-Support Vector Machine2009

    • Author(s)
      A.Takeda, M.Sugiyama
    • Organizer
      20th International Symposium of Mathematical Programming
    • Place of Presentation
      Chicago, USA
    • Year and Date
      2009-08-24
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] 機械学習で使われる最適化手法の紹介2009

    • Author(s)
      武田朗子
    • Organizer
      日本オペレーションズ・リサーチ学会春季研究発表会
    • Place of Presentation
      筑波大学, 茨城県つくば市
    • Year and Date
      2009-03-18
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] 最適化におけるロバストネス2009

    • Author(s)
      武田朗子
    • Organizer
      第52回自動制御連合講演会
    • Place of Presentation
      大阪大学
    • Year and Date
      2009-11-21
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] A Modified Algorithm for Nonconvex Support Vector Classification2008

    • Author(s)
      A. Takeda
    • Organizer
      Artificial Intelligence and Applications
    • Place of Presentation
      Congress Innsbruck, Innsbruck
    • Year and Date
      2008-02-12
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Modified Algorithm for Nonconvex Support Vector Classification2008

    • Author(s)
      A. Takeda
    • Organizer
      Artificial Intelligence and Applications (AIA 2008)
    • Place of Presentation
      Congress Innsbruck (Innsbruck, Austria)
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Statistical Learning Models Based on Conditional Value-at-risk2008

    • Author(s)
      A. Takeda
    • Organizer
      The 4th Sino-Japanese Optimization Meeting, National Center for Theoretical Sciences
    • Place of Presentation
      National Cheng-Kung University, Tainan, Taiwan
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Statistical Learning Models Based on Conditional Value-at-risk2008

    • Author(s)
      A. Takeda
    • Organizer
      The 25th International Conference on Machine Learning (ICML 2008)
    • Place of Presentation
      University of Helsinki, Helsinki, Finland
    • Year and Date
      2008-07-06
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] A Modified Algorithm for Nonconvex Support Vector Classification2008

    • Author(s)
      Akiko Takeda
    • Organizer
      Artificial Intelligence and Applications (AIA 2008)
    • Place of Presentation
      Congress Innsbruck (Innsbruck, Austria)
    • Year and Date
      2008-02-11
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Statistical Learning Models Based on Conditional Value-at-risk2008

    • Author(s)
      A. Takeda
    • Organizer
      The 4th Sino-Japanese Optimization Meeting (SJOM 2008)
    • Place of Presentation
      National Cheng-Kung U niversity (Tainan, Taiwan)
    • Year and Date
      2008-08-30
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] v-Support Vector Machine as Conditional Value-at-Risk Minimization2008

    • Author(s)
      A. Takeda
    • Organizer
      The 25th International Conference on Mach : ne Learning (ICML 2008)
    • Place of Presentation
      University of Helsinki (Helsinki, Finland)
    • Year and Date
      2008-07-06
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] リスク最小化モデルとしてのSupport Vector Machine2008

    • Author(s)
      武田朗子
    • Organizer
      21世紀の数理計画 : 最適化モデルとアルゴリズム
    • Place of Presentation
      京都大学数理解析研究所
    • Year and Date
      2008-07-25
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] CVaR最小化に基づくSupport Vector Machine2007

    • Author(s)
      武田朗子
    • Organizer
      SSOR
    • Place of Presentation
      ホテル聚楽,伊東
    • Year and Date
      2007-08-30
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] ロバスト最適化問題への確率的アプローチ2007

    • Author(s)
      武田朗子
    • Organizer
      第19回RAMPシンポジウム
    • Place of Presentation
      長崎ブリックホール,長崎
    • Year and Date
      2007-10-26
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Support Vector Machine Based on Conditional Value-at-Risk Minimization2007

    • Author(s)
      A. Takeda
    • Organizer
      Workshop on Advances in Optimization Program
    • Place of Presentation
      東京工業大学,東京
    • Year and Date
      2007-04-20
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Support Vector Machine Based on Conditional Value-at-Risk Minimization2007

    • Author(s)
      Akiko Takeda
    • Organizer
      Workshop on Advances in Optimization Program
    • Place of Presentation
      Tokyo Institute of Technology (Tokyo, Japan)
    • Year and Date
      2007-04-21
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] ロバスト最適化問題への確率的アプローチ2007

    • Author(s)
      武田朗子
    • Organizer
      第19回RAMPシンポジウム(RAMP2007)
    • Place of Presentation
      長崎ブリックホール国際会議場
    • Year and Date
      2007-10-26
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Application of Conditional Value-at-Risk to Statistical Learning Problems2007

    • Author(s)
      Akiko Takeda
    • Organizer
      the Second Mathematical Programming Society International Conference on Continuous Optimization
    • Place of Presentation
      McMaster University(Hamilton, Canada)
    • Year and Date
      2007-08-15
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] ロバスト最適化問題への確率的アプローチ2007

    • Author(s)
      武田朗子
    • Organizer
      第19回RAMPシンポジウム(RAMP2007)
    • Place of Presentation
      長崎ブリックホール国際会議場
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Support Vector Machine Based on Conditional Value-at-Risk Minimization2007

    • Author(s)
      A. Takeda
    • Organizer
      Workshop on Advances in Optimization
    • Place of Presentation
      Tokyo Institute of Technology, Japan
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] CVaR最小化に基づくSupport Vector Machine2007

    • Author(s)
      武田朗子
    • Organizer
      SSOR
    • Place of Presentation
      伊東ホテル聚楽
    • Year and Date
      2007-08-29
    • Data Source
      KAKENHI-PROJECT-19710124
  • [Presentation] Application of Conditional Value-at-Risk to Statistical Learning Problems2007

    • Author(s)
      A. Takeda
    • Organizer
      ICCOPT-II (the Second Mathematical Programming Society International Conference on Continuous Optimization)
    • Place of Presentation
      McMaster University (Hamilton, Canada)
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] Application of Conditional Value-at-Risk to Statistical Learning Problems2007

    • Author(s)
      A. Takeda
    • Organizer
      ICCOPT-II
    • Place of Presentation
      MacMaster Univ., Hamilton
    • Year and Date
      2007-08-14
    • Data Source
      KAKENHI-PROJECT-19310096
  • [Presentation] A Unified Robust Classification Model

    • Author(s)
      Akiko Takeda, Hiroyuki Mitsugi and Takafumi Kanamori
    • Organizer
      The 29th International Conference on Machine Learning
    • Place of Presentation
      the University of Edinburgh
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] 2本の2次制約付き非凸2次計画問題に対する多項式時間アルゴリズム

    • Author(s)
      坂上晋作,中務佑治, 武田朗子, 岩田覚
    • Organizer
      日本オペレーションズ・リサーチ学会 2015年春季研究発表会
    • Place of Presentation
      東京理科大学,東京
    • Year and Date
      2015-03-26 – 2015-03-27
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Presentation] Nonconvex Quadratic Optimization with One or Two Constraints

    • Author(s)
      Akiko Takeda
    • Organizer
      IMA Annual Program Year Workshop: Convexity and Optimization: Theory and Applications
    • Place of Presentation
      Minneapolis, アメリカ合衆国
    • Year and Date
      2015-02-23 – 2015-02-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Presentation] 機械学習方法を用いたポートフォリオ選択モデルの提案

    • Author(s)
      武田朗子, 後藤順哉
    • Organizer
      JAFEE:ファイナンスの 意思決定解析研究部会
    • Place of Presentation
      芝浦工業大学
    • Invited
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Robust optimization-based classification method

    • Author(s)
      Akiko Takeda, Takafumi Kanamori and Hiroyuki Mitsugi
    • Organizer
      The 21th International Symposium on Mathematical Programming
    • Place of Presentation
      Berlin Institute of Technology
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] 数理最適化の視点から機械学習の分野へ ~ロバスト最適化法と金融リスク尺度最小化の応用 ~

    • Author(s)
      武田朗子
    • Organizer
      OR 学会「最適化の理論と応用」研究部会(SOTA)
    • Place of Presentation
      東京大学
    • Invited
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] 不確実な最適化問題に対するロバスト最適化法

    • Author(s)
      武田朗子
    • Organizer
      日本応用数理学会2012 年度年会
    • Place of Presentation
      稚内全日空ホテル
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Global Optimization Methods for Extended Fisher Discriminant Analysis

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda
    • Organizer
      Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS 2014)
    • Place of Presentation
      Reykyavik, Iceland
    • Year and Date
      2014-04-22 – 2014-04-25
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Global Optimization Methods for Extended Fisher Discriminant Analysis

    • Author(s)
      Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda
    • Organizer
      Seventeenth International Conference on Artificial Intelligence and Statistics
    • Place of Presentation
      Reykyavik, アイスランド
    • Year and Date
      2014-04-21 – 2014-04-24
    • Data Source
      KAKENHI-PROJECT-26540007
  • [Presentation] 金融リスク指標に基づく外れ値に対して頑健な サポートベクターマシンの拡張

    • Author(s)
      藤原秀平,武田朗子,金森敬文
    • Organizer
      OR 学会2013年春季研究発表会
    • Place of Presentation
      東京大学
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] What is Mathematical Optimization?

    • Author(s)
      Akiko Takeda
    • Organizer
      7th Japanese-French Frontiers of Science (JFFoS) Symposium
    • Place of Presentation
      The Royal Oak Hotel Spa & Gardens
    • Invited
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] A Unified Robust Classification Model as Financial Risk Measure Minimization

    • Author(s)
      Akiko Takeda and Takafumi Kanamori
    • Organizer
      INFORMS Annual Meeting
    • Place of Presentation
      Phoenix Convention Center
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] Exact SVM Training by Wolfe's Minimum Norm Point Algorithm

    • Author(s)
      Masashi Kitamura, Akiko Takeda, Satoru Iwata
    • Organizer
      IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014)
    • Place of Presentation
      Reims, France
    • Year and Date
      2014-09-21 – 2014-09-24
    • Data Source
      KAKENHI-PROJECT-23710174
  • [Presentation] A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems

    • Author(s)
      Takafumi Kanamori, Akiko Takeda, and Taiji Suzuki
    • Organizer
      The 25th Conference on Learning Theory
    • Place of Presentation
      the University of Edinburgh
    • Data Source
      KAKENHI-PROJECT-23710174
  • 1.  NAKATA Kazuhide (00312984)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 0 results
  • 2.  FUJISAWA Katsuki (40303854)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 0 results
  • 3.  KOJIMA Masakazu (90092551)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 1 results
  • 4.  YAMASHITA Magkoto (20386824)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 0 results
  • 5.  FUKUDA Mituhiro (80334548)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 6.  Iwata Satoru (00263161)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 7 results
  • 7.  中務 佑治 (10723554)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 8.  Matsukawa Hiroaki (30242275)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  Kanamori Takafumi (60334546)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 10.  中野 冠 (10394454)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  中島 健一 (80278564)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  鈴木 定省 (50323811)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  山口 高平 (20174617)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  渡辺 千仭 (60220901)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  久保 幹雄 (60225191)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  ロウレンソ ブルノ・フィゲラ (80778720)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 17.  Liu Tianxiang (90835216)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 18.  Metel MichaelRos (40839081)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 19.  熊谷 亘 (20747167)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 20.  竹之内 高志 (50403340)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 21.  松井 孝太 (50737111)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 22.  川島 孝行 (60846210)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 23.  Poirion PierreLouis (80835215)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 24.  KIM Sunyoung
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 25.  KAWAHARA Yoshinobu
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 26.  奥野 貴之
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 27.  佐藤 一宏
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 28.  畑埜 晃平
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 29.  瀧本 英二
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 30.  宮内 敦史
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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