Akiko Takeda
Our faculty
Professor, Department of Mathematical Informatics,
Graduate School of Information Science and Technology,
the University of Tokyo
Room 253, 731 6 Hongo, Bunkyoku, Tokyo 1138656
Tel: 0358416920 ext. 26920 Fax:
Email: takeda@mist.i.utokyo.ac.jp
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Biography
March, 1996  Bachelor of Engineering, Faculty of Science and Technology, Keio University 

March, 1998  M.A. in Administration Engineering, Graduate School of Science and Technology, Keio University 
March, 2001  Ph.D. in Mathematical and Computing Sciences, Tokyo Institute of Technology 
April, 2001  Researcher, Corporate R&D Center, Toshiba Corporation 
April, 2003  Assistant Professor, Department of Mathematical and Computing Sciences, Tokyo Institute of Technology 
April, 2008  Lecturer, Faculty of Science and Technology, Keio University 
April, 2011  Associate Professor, Faculty of Science and Technology, Keio University 
April, 2013  Associate Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo 
April, 2016  Professor, Department of Mathematical Analysis and Statistical Inference, The Institute of Statistical Mathematics 
April 2018  Professor, Graduate School of Information Science and Technology, The University of Tokyo 
Research topics
We are conducting research focusing on formulating a mathematical optimization problem and developing an algorithm to solve the problem. In particular, we are developing efficient algorithms for continuous optimization problems, which are considered to be difficult to handle, such as optimization problems including uncertainty and nonconvex optimization problems. Recently, I am interested in the topics below.
1: Efficient algorithms of continuous optimization problems focusing on nonconvex optimization problems
2: Decisionmaking method for uncertain optimization problems: development of algorithms for robust optimization problems
3: Application of optimization methods to problems appearing in various fields (machine learning, financial engineering, energy system, etc.)
Major publications

Junya Gotoh, Akiko Takeda and Katsuya Tono, “DC formulations and algorithms for Sparse Optimization Problems”, mathematic Al Programming, First Online: 26 July 2017. (Solution study for sparse optimization problem)
Naoki Ito, Akiko Takeda and Kimchuan Toh, “A Unified formulation and Fast Accelerated proximal Gradient for Classi Fication “, Journal of Machine Learning Research, 18, pp.149, 2017. (Application to machine learning)
Shinsaku Sakaue, Akiko Takeda, Sunyoung Kim and Naoki Ito, “Exact relaxations with truncated Moment for Binary Polynomial Optimization Problems “, SIAM Journal on Optimization, 27 (1), pp. 565582, 2017. (SDP mitigation method for polynomial optimization problems)
Kosuke Nishida, Akiko Takeda, Satoru Iwata, Mariko Kiho and Isao Nakayama, “household, consumption prediction Ture selection of Lifestyle data “, IEEE International Conference on Smart Grid Communications, Dresden, Germany, 2017. (Application to energy systems)