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2020 – today
- 2023
[j10]Shota Takahashi
, Mirai Tanaka, Shiro Ikeda:
Blind deconvolution with non-smooth regularization via Bregman proximal DCAs. Signal Process. 202: 108734 (2023)- 2022
- [j9]Shota Takahashi, Mituhiro Fukuda, Mirai Tanaka:
New Bregman proximal type algorithms for solving DC optimization problems. Comput. Optim. Appl. 83(3): 893-931 (2022) - [j8]Mitsuru Toyoda, Mirai Tanaka:
Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence. J. Frankl. Inst. 359(5): 2206-2228 (2022) - 2021
- [j7]Mirai Tanaka, Takayuki Okuno:
Extension of the LP-Newton method to conic programming problems via semi-infinite representation. Numer. Algorithms 86(3): 1285-1302 (2021) - [c4]Ryo Sato, Mirai Tanaka, Akiko Takeda:
A Gradient Method for Multilevel Optimization. NeurIPS 2021: 7522-7533 - [i3]Ryo Sato, Mirai Tanaka, Akiko Takeda:
A Gradient Method for Multilevel Optimization. CoRR abs/2105.13954 (2021) - 2020
- [j6]Mitsuru Toyoda, Mirai Tanaka:
An Efficient Algorithm for an ℓ₁/ℓ₂ Mixed Optimal Control Problem with a Box Constraint and Parallelization. IEEE Control. Syst. Lett. 4(3): 584-589 (2020) - [j5]Mitsuru Toyoda, Mirai Tanaka:
Local R-linear convergence of ADMM-based algorithm for ℓ1-norm minimization with linear and box constraints. Syst. Control. Lett. 146: 104824 (2020)
2010 – 2019
- 2019
- [j4]Mirai Tanaka, Kazuhiro Kobayashi:
A route generation algorithm for an optimal fuel routing problem between two single ports. Int. Trans. Oper. Res. 26(2): 529-550 (2019) - [c3]Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. NeurIPS 2019: 13845-13853 - [i2]Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. CoRR abs/1906.04868 (2019) - 2018
- [j3]Tomohiko Mizutani, Mirai Tanaka:
Efficient preconditioning for noisy separable nonnegative matrix factorization problems by successive projection based low-rank approximations. Mach. Learn. 107(4): 643-673 (2018) - [c2]Manami Tatsukawa, Mirai Tanaka:
Box Constrained Low-rank Matrix Approximation with Missing Values. ICORES 2018: 78-84 - 2017
- [i1]Tomohiko Mizutani, Mirai Tanaka:
Efficient Preconditioning for Noisy Separable NMFs by Successive Projection Based Low-Rank Approximations. CoRR abs/1710.00387 (2017) - 2016
- [c1]Mirai Tanaka, Takuya Kimata, Takeshi Arai:
Estimation of Passenger Origin-Destination Matrices and Efficiency Evaluation of Public Transportation. IIAI-AAI 2016: 1146-1150 - 2014
- [j2]Mirai Tanaka, Kazuhide Nakata:
Positive definite matrix approximation with condition number constraint. Optim. Lett. 8(3): 939-947 (2014) - [j1]Mirai Tanaka, Kazuhide Nakata:
Successive Projection Method for Well-Conditioned Matrix Approximation Problems. IEEE Signal Process. Lett. 21(4): 418-422 (2014)
Coauthor Index
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