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RIKEN Center for Advanced Intelligence Project Continuous Optimization Team

Team Leader: Akiko Takeda (D.Sci.)

Research Summary

Akiko  Takeda(D.Sci.)

Our team focuses on mathematical optimization. An optimization problem is the problem of finding the best solution from all feasible solutions. By formulating various real-world problems as optimization problems and solving them by efficient algorithms, we can find their reasonable solutions. Optimization algorithms are applicable not only to machine learning problems but also to various applications, e.g., of production research and industrial engineering. However some problems such as nonconvex optimization and uncertain optimization problems are difficult to solve. Currently, we are working on efficient algorithms for such difficult optimization problems.

Main Research Fields

  • Computer Science

Related Research Fields

  • Engineering
  • Economics & Business

Research Subjects

  • Mathematical Optimization
  • Nonconvex Optimization
  • Uncertainty

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

  • 1.*Sakaue, S., Nakatsukasa, Y., Takeda, A., and Iwata, S.:
    "Solving generalized CDT problems via two-parameter eigenvalues"
    SIAM Journal on Optimization, 26 (3), pp.1669--1694 (2016)
  • 2.*Iwata, S., Nakatsukasa, Y., and Takeda, A.:
    "Computing the signed distance between overlapping ellipsoids"
    SIAM Journal on Optimization, 25 (4), pp.2359--2384 (2015).
  • 3.*Bertsimas, D., and Takeda, A.:
    "Optimizing Over Coherent Risk Measures and Non-convexities: A Robust Mixed Integer Optimization Approach",
    Computational Optimization and Applications, 62 (3), pp.613--639 (2015).
  • 4.*Gunawardana, Y., Fujiwara, S., Takeda, A., Woo, J., Woelk, C., and Niranjan, M.:
    "Outlier-Detection at the Transcriptome-Proteome Interface"
    Bioinfomatics, 31 (15), pp.2530--2536 (2015).
  • 5.*Yamaguchi, Y., Ogawa, A., Takeda A., and Iwata, S.:
    "Cyber Security Analysis of Power Networks by Hypergraph Cut Algorithms",
    The IEEE Transactions on Smart Grid, 6 (5), pp.2189--2199 (2015).
  • 6.*Barbero, A., Takeda A., and Lopez, J.:
    "Geometric intuition and algorithms for Enu-SVM"
    Journal of Machine Learning Research, 16, pp.323--369 (2015).
  • 7.*Takeda, A., and Kanamori, T.:
    "Using Financial Risk Measures for Analyzing Generalization Performance of Machine Learning Models"
    Neural Networks, 57, pp.29--38 (2014)
  • 8.*Takeda, A., Fujiwara, S., and Kanamori, T.:
    "Extended Robust Support Vector Machine Based on Financial Risk Minimization"
    Neural Computation, 26 (11), pp.2541--2569 (2014)
  • 9.*Okido, S., and Takeda, A.:
    "Economic and Environmental Analysis of Photovoltaic Energy Systems via Robust Optimization"
    Energy Systems, 4, pp.239--266 (2013).
  • 10.*Takeda, A., Mitsugi, H., and Kanamori, T.:
    "A Unified Classification Model Based on Robust Optimization"
    Neural Computation, 25 (3), pp.759--804 (2013).

Related Links

Lab Members

Principal investigator

Akiko Takeda
Team Leader

Core members

Takayuki Okuno
Research Scientist
Pierre-Louis Poirion
Research Scientist
Atsushi Miyauchi
Postdoctoral Researcher
Michael Ros Metel
Postdoctoral Researcher
Tianxiang Liu
Postdoctoral Researcher

Contact Information

Department of Creative Informatics, Graduate School of Information Science and Technology, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo
113-8656, Japan
Email: takeda [at] mist.i.u-tokyo.ac.jp