Yuichi TAKANO (University of Tsukuba)

JP EN

Papers

Preprints

  1. R. Tamura, Y. Takano, and R. Miyashiro: Feature subset selection for kernel SVM classification via mixed-integer optimization. arXiv preprint, arXiv:2205.14325 (2022).
  2. K. Kobayashi, Y. Takano, and K. Nakata: Cardinality-constrained distributionally robust portfolio optimization. arXiv preprint, arXiv:2112.12454 (2021).
  3. Y. Yoshida and Y. Takano: Linear control policies for online vehicle relocation in shared mobility systems. Optimization Online (2021).
  4. A. Watanabe, R. Tamura, Y. Takano, and R. Miyashiro: Branch-and-bound algorithm for optimal sparse canonical correlation analysis. Optimization Online (2021).
  5. N. Nishimura, N. Sukegawa, Y. Takano, and J. Iwanaga: Predicting online item-choice behavior: A shape-restricted regression approach. arXiv preprint, arXiv:2004.08519 (2020).
  6. Y. Takano and J. Gotoh: Dynamic portfolio selection with linear control policies for coherent risk minimization. Optimization Online (2019).

Refereed Journal Papers

  1. K. Kobayashi, Y. Takano, and K. Nakata: Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization. Journal of Global Optimization, 81 (2021), 493--528.
  2. K. Zhang, Y. Takano, Y. Wang, and A. Yoshise: Optimizing the strategic decisions for one-way station-based carsharing systems: A mean-CVaR approach. IEEE Access, 9 (2021), 79816--79828.
  3. H. Saishu, K. Kudo, and Y. Takano: Sparse Poisson regression via mixed-integer optimization. PLOS ONE, 16 (2021), e0249916.
  4. T. Shiratori, K. Kobayashi, and Y. Takano: Prediction of hierarchical time series using structured regularization and its application to artificial neural networks. PLOS ONE, 15 (2020), e0242099.
  5. N. Shimada, N. Yamazaki, and Y. Takano: Multi-objective optimization models for many-to-one matching problems. Journal of Information Processing, 28 (2020), 406--412.
  6. K. Kudo, Y. Takano, and R. Nomura: Stochastic discrete first-order algorithm for feature subset selection. IEICE Transactions on Information and Systems, E103-D (2020), 1693--1702.
  7. Y. Takano and R. Miyashiro: Best subset selection via cross-validation criterion. TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 28 (2020), 475--488.
  8. K. Kobayashi and Y. Takano: A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems. Computational Optimization and Applications, 75 (2020), 493--513.
  9. J. Iwanaga, N. Nishimura, N. Sukegawa, and Y. Takano: Improving collaborative filtering recommendations by estimating user preferences from clickstream data. Electronic Commerce Research and Applications, 37 (2019), No. 100877.
  10. T. Sato, Y. Takano, and T. Nakahara: Investigating consumers' store-choice behavior via hierarchical variable selection. Advances in Data Analysis and Classification, 13 (2019), 621--639.
  11. M. Naganuma, Y. Takano, and R. Miyashiro: Feature subset selection for ordered logit model via tangent-plane-based approximation. IEICE Transactions on Information and Systems, E102-D (2019), 1046--1053.
  12. R. Tamura, K. Kobayashi, Y. Takano, R. Miyashiro, K. Nakata, and T. Matsui: Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor. Journal of Global Optimization, 73 (2019), 431--446.
  13. N. Nishimura, N. Sukegawa, Y. Takano, and J. Iwanaga: A latent-class model for estimating product-choice probabilities from clickstream data. Information Sciences, 429 (2018), 406--420.
  14. Y. Takano, N. Ishii, and M. Muraki: Determining bid markup and resources allocated to cost estimation in competitive bidding. Automation in Construction, 85 (2018), 358--368.
  15. R. Tamura, K. Kobayashi, Y. Takano, R. Miyashiro, K. Nakata, and T. Matsui: Best subset selection for eliminating multicollinearity. Journal of the Operations Research Society of Japan, 60 (2017), 321--336.
  16. Y. Takano, N. Ishii, and M. Muraki: Multi-period resource allocation for estimating project costs in competitive bidding. Central European Journal of Operations Research, 25 (2017), 303--323.
  17. T. Sato, Y. Takano, and R. Miyashiro: Piecewise-linear approximation for feature subset selection in a sequential logit model. Journal of the Operations Research Society of Japan, 60 (2017), 1--14.
  18. T. Sato, Y. Takano, R. Miyashiro, and A. Yoshise: Feature subset selection for logistic regression via mixed integer optimization. Computational Optimization and Applications, 64 (2016), 865--880.
  19. J. Iwanaga, N. Nishimura, N. Sukegawa, and Y. Takano: Estimating product-choice probabilities from recency and frequency of page views. Knowledge-Based Systems, 99 (2016), 157--167.
  20. N. Ishii, Y. Takano, and M. Muraki: A revised algorithm for competitive bidding price decision under limited engineering man-hours in EPC projects. Oukan, The Journal of Transdisiciplinary Federation of Science and Technology, 10 (2016), 47--56.
  21. T. Sato, Y. Takano, and T. Nakahara: Using mixed integer optimisation to select variables for a store choice model. International Journal of Knowledge Engineering and Soft Data Paradigms, 5 (2016), 123--134.
  22. R. Miyashiro and Y. Takano: Mixed integer second-order cone programming formulations for variable selection in linear regression. European Journal of Operational Research, 247 (2015), 721--731.
  23. Y. Takano, K. Nanjo, N. Sukegawa, and S. Mizuno: Cutting plane algorithms for mean-CVaR portfolio optimization with nonconvex transaction costs. Computational Management Science, 12 (2015), 319--340.
  24. R. Miyashiro and Y. Takano: Subset selection by Mallows' Cp: A mixed integer programming approach. Expert Systems with Applications, 42 (2015), 325--331.
  25. Y. Takano and J. Gotoh: Multi-period portfolio selection using kernel-based control policy with dimensionality reduction. Expert Systems with Applications, 41 (2014), 3901--3914.
  26. N. Ishii, Y. Takano, and M. Muraki: An order acceptance strategy under limited engineering man-hours for cost estimation in engineering-procurement-construction projects. International Journal of Project Management, 32 (2014), 519--528.
  27. Y. Takano, N. Ishii, and M. Muraki: A sequential competitive bidding strategy considering inaccurate cost estimates. OMEGA: The International Journal of Management Science, 42 (2014), 132--140.
  28. Y. Takano and R. Sotirov: A polynomial optimization approach to constant rebalanced portfolio selection. Computational Optimization and Applications, 52 (2012), 645--666.
  29. Y. Takano and J. Gotoh: A nonlinear control policy using kernel method for dynamic asset allocation. Journal of the Operations Research Society of Japan, 54 (2011), 201--218.
  30. Y. Takano and J. Gotoh: Constant rebalanced portfolio optimization under nonlinear transaction costs. Asia-Pacific Financial Markets, 18 (2011), 191--211.
  31. Y. Takano and J. Gotoh: Alpha-conservative approximation for probabilistically constrained convex programs. Computational Optimization and Applications, 46 (2010), 113--133.
  32. Y. Takano and Y. Yamamoto: Metric-preserving reduction of earth mover's distance. Asia-Pacific Journal of Operational Research, 27 (2010), 39--54.
  33. J. Gotoh and Y. Takano: Newsvendor solutions via conditional value-at-risk minimization. European Journal of Operational Research, 179 (2007), 80--96.

Refereed Conference Proceedings

  1. N. Nishimura, N. Sukegawa, Y. Takano, and J. Iwanaga: Estimating product-choice probabilities from sequences of page views. Proceedings of the 2019 International Symposium on Nonlinear Theory and Its Applications (NOLTA, 2019), 25--28.
  2. S. Kamiya, R. Miyashiro, and Y. Takano: Feature subset selection for the multinomial logit model via mixed-integer optimization. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS, 2019), 1254--1263. Acceptance rate: 360/1111 = 32.4%
  3. N. Ishii, Y. Takano, and M. Muraki: Design and evaluation of the joint venture formation in EPC projects. Proceedings of the 19th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS, 2018), 6 pages.
  4. N. Ishii, Y. Takano, and M. Muraki: Resource flow based order selection method in project cost estimation process. Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH, 2017), 155--162.
  5. N. Ishii, Y. Takano, and M. Muraki: A dynamic scheduling problem in cost estimation process of EPC projects. Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH, 2016), 187--194.
  6. R. Tamura, R. Miyashiro, and Y. Takano: Improvement on a stepwise method in variable selection problem in linear regression. Proceedings of the 4th ICT International Student Project Conference (ICT-ISPC, 2015), 4 pages in USB.
  7. N. Ishii, Y. Takano, and M. Muraki: A two-step bidding price decision algorithm under limited man-hours in EPC projects. Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH, 2013), 393--403.

Book Chapters

  1. N. Ishii, Y. Takano, and M. Muraki: A resource flow based multistage dynamic scheduling method for the state-dependent work. Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing, 873 (2019), 300--316.
  2. N. Ishii, Y. Takano, and M. Muraki: A simulation-based dynamic scheduling method in project cost estimation process. Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing, 676 (2018), 261--279.
  3. N. Ishii, Y. Takano, and M. Muraki: A heuristic bidding price decision algorithm based on cost estimation accuracy under limited engineering man-hours in EPC projects. Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing, 319 (2015), 101--118.

Other Publications

  1. T. Sato and Y. Takano: Smoothness-constrained model for nonparametric item response theory. Information Science and Applied Mathematics, 27 (2020), 1--20.
  2. Y. Takano, S. Tsunoda, and M. Muraki: Mathematical optimization models for nonparametric item response theory. Information Science and Applied Mathematics, 23 (2016), 1--18.
  3. Y. Takano and R. Sotirov: Towards global optimization of constant rebalanced portfolio. Medium for Econometric Applications, 18 (2012), 22--28.
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