TAKEDA Akiko

J-GLOBAL         Last updated: Mar 15, 2017 at 02:55
 
Avatar
Name
TAKEDA Akiko
URL
http://www.ism.ac.jp/~atakeda/index-e.html
Affiliation
The Institute of Statistical Mathematics
Job title
Professor
Degree
Doctor of Science(Tokyo Institute of Technology), Master of Engineering(Keio University)

Research Areas

 
 

Academic & Professional Experience

 
Apr 2016
 - 
Today
The Institute of Statistical Mathematics
 
Apr 2013
 - 
Mar 2016
The University of Tokyo
 
Apr 2008
 - 
Mar 2013
Keio University
 
Apr 2003
 - 
Mar 2008
Tokyo Institute of Technology
 
Apr 2001
 - 
Mar 2003
Corporate R&D Center, Toshiba Corporation
 

Education

 
 
 - 
2001
Tokyo Institute of Technology
 
 
 - 
1996
Faculty of Science and Engineering, Keio University
 

Published Papers

 
Gunawardana Y, Fujiwara S, Takeda A, Woo J, Woelk C, Niranjan M
Bioinformatics (Oxford, England)   31(15) 2530-2536   Aug 2015   [Refereed]
Dimitris Bertsimas,Akiko Takeda
Comp. Opt. and Appl.   62(3) 613-639   2015   [Refereed]
Álvaro Barbero Jiménez,Akiko Takeda,Jorge López Lázaro
Journal of Machine Learning Research   16 323-369   2015   [Refereed]
Satoru Iwata,Yuji Nakatsukasa,Akiko Takeda
SIAM Journal on Optimization   25(4) 2359-2384   2015   [Refereed]
Yutaro Yamaguchi,Anna Ogawa,Akiko Takeda,Satoru Iwata
IEEE Trans. Smart Grid   6(5) 2189-2199   2015   [Refereed]

Misc

 
Takafumi Kanamori,Shuhei Fujiwara,Akiko Takeda
CoRR   abs/1409.0934    2014   [Refereed]
Takafumi Kanamori,Akiko Takeda,Taiji Suzuki
CoRR   abs/1204.6583    2012   [Refereed]
Akiko Takeda,Hiroyuki Mitsugi,Takafumi Kanamori
CoRR   abs/1206.4599    2012   [Refereed]
A Multilevel Parallelized Hybrid Branch and Bound Algorithm for Quadratic Optimization
IPSJ Transactions on Advanced Computing Systems   45(SIG 6(ACS 6)) 186-196   2004

Books etc

 
CVaR Minimizations in Support Vector Machines
Goth, Jun-ya Chou University, Takeda, Akiko The Institute of Statistical Mathematics
Apr 2016   

Conference Activities & Talks

 
A Link between DC Algorithms and Proximal Gradient Methods
Tono, Katsuya The University of Tokyo, Takeda, Akiko The Institute of Statistical Mathematics, Gotoh, Jun-ya Chou University
Fifth International Conference on Continuous Optimization (ICCOPT 2016)   8 Aug 2016   
Fast Accelerated Proximal Gradient Method and Its Application to Unified Classification Algorithm
Ito, Naoki The University of Tokyo, Takeda, Akiko The Institute of Statistical Mathematics, Toh, Kim-Chuan National University of Singapore
Fifth International Conference on Continuous Optimization (ICCOPT 2016)   9 Aug 2016   
Global Optimization via Eigenvalues
Adachi, Satoru The University of Tokyo, Iwata, Satoru The University of Tokyo, Nakatsukasa, Yuji University of Oxford, Sakaue, Shinsaku The University of Tokyo, Takeda, Akiko The Institute of Statistical Mathematics
Fifth International Conference on Continuous Optimization (ICCOPT 2016)   10 Aug 2016   
Exact SDP Relaxations with Truncated Moment Matrix for Binary Polynomial Optimization Problems
Sakaue, Shinsaku The University of Tokyo, Takeda, Akiko The Institute of Statistical Mathematics, Kim, Sunyoung Ewha Womans University, Ito, Naoki The University of Tokyo
Fifth International Conference on Continuous Optimization (ICCOPT 2016)   10 Aug 2016   
A Fast Approximation Method for Nonconvex Quadratic Optimizations with Few Constraints
Yamada, Shinji The University of Tokyo, Takeda, Akiko The Institute of Statistical Mathematics
Fifth International Conference on Continuous Optimization (ICCOPT 2016)   11 Aug 2016   

Research Grants & Projects

 
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(若手研究(B))
Project Year: 2007 - 2010    Investigator(s): Akiko TAKEDA
Using the existing studies on mathematical optimization, financial engineering and machine learning, I theoretically evaluated the prediction performance of a classification method known as Eν-SVM. The SVM has been quite successful in practice. Ho...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(C))
Project Year: 2015 - 2018    Investigator(s): 武田 朗子
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(若手研究(B))
Project Year: 2011 - 2014    Investigator(s): 武田 朗子
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 2007 - 2009    Investigator(s): Masakazu KOJIMA
We studied primal-dual interior-point methods for solving a semidefinite program which is one of the most important optimization problems having lots of applications in various fields of science and engineering, and developed a software package SD...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(若手研究(B))
Project Year: 2004 - 2006    Investigator(s): 武田 朗子