Jun-ya Gotoh, Akiko Takeda and Katsuya Tono, “DC Formulations and Algorithms for Sparse Optimization Problems”, Mathematical Programming, First Online: 26 July 2017. (スパース最適化問題に対する解法研究)
Naoki Ito, Akiko Takeda and Kim-Chuan Toh, “A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification”, Journal of Machine Learning Research, 18, pp.1-49, 2017. (機械学習への応用)
Shinsaku Sakaue, Akiko Takeda, Sunyoung Kim and Naoki Ito, “Exact SDP Relaxations with Truncated Moment Matrix for Binary Polynomial Optimization Problems”, SIAM Journal on Optimization, 27 (1), pp. 565-582, 2017. (多項式最適化問題に対するSDP緩和法)
Kosuke Nishida, Akiko Takeda, Satoru Iwata, Mariko Kiho and Isao Nakayama, “Household energy consumption prediction by feature selection of lifestyle data”, IEEE International Conference on Smart Grid Communications, Dresden, Germany, 2017. (エネルギーシステムへの応用)