Yuichi TAKANO (University of Tsukuba)

JP EN

Papers

Preprints

  1. Y. Yasumoto and Y. Takano: Mean–variance portfolio optimization with shrinkage estimation for recommender systems. Optimization Online (2023).

Refereed Journal Papers

  1. R. Tamura, Y. Takano, and R. Miyashiro: Mixed-integer linear optimization formulations for feature subset selection in kernel SVM classification. IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences (in press).
  2. H. Saishu, K. Kudo, and Y. Takano: Cutting-plane algorithm for estimation of sparse Cox proportional hazards models. TOP: Transactions in Operations Research, 32 (2024), 57--82.
  3. S. Ikeda, N. Nishimura, N. Sukegawa, and Y. Takano: Prescriptive price optimization using optimal regression trees. Operations Research Perspectives, 11 (2023), 100290.
  4. N. Nishimura, N. Sukegawa, Y. Takano, and J. Iwanaga: Predicting online item-choice behavior: A shape-restricted regression approach. Algorithms, 16 (2023), 415.
  5. K. Kobayashi, Y. Takano, and K. Nakata: Cardinality-constrained distributionally robust portfolio optimization. European Journal of Operational Research, 309 (2023), 1173--1182.
  6. Y. Takano and J. Gotoh: Dynamic portfolio selection with linear control policies for coherent risk minimization. Operations Research Perspectives, 10 (2023), 100262.
  7. A. Watanabe, R. Tamura, Y. Takano, and R. Miyashiro: Branch-and-bound algorithm for optimal sparse canonical correlation analysis. Expert Systems with Applications, 217 (2023), 119530.
  8. Y. Yoshida and Y. Takano: Linear control policies for online vehicle relocation in shared mobility systems. Expert Systems with Applications, 210 (2022), 118417.
  9. 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.
  10. 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.
  11. H. Saishu, K. Kudo, and Y. Takano: Sparse Poisson regression via mixed-integer optimization. PLOS ONE, 16 (2021), e0249916.
  12. 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.
  13. 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.
  14. 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.
  15. Y. Takano and R. Miyashiro: Best subset selection via cross-validation criterion. TOP: Transactions in Operations Research, 28 (2020), 475--488.
  16. 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.
  17. 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), 100877.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. R. Miyashiro and Y. Takano: Subset selection by Mallows' Cp: A mixed integer programming approach. Expert Systems with Applications, 42 (2015), 325--331.
  33. 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.
  34. 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.
  35. 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.
  36. Y. Takano and R. Sotirov: A polynomial optimization approach to constant rebalanced portfolio selection. Computational Optimization and Applications, 52 (2012), 645--666.
  37. 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.
  38. Y. Takano and J. Gotoh: Constant rebalanced portfolio optimization under nonlinear transaction costs. Asia-Pacific Financial Markets, 18 (2011), 191--211.
  39. Y. Takano and J. Gotoh: Alpha-conservative approximation for probabilistically constrained convex programs. Computational Optimization and Applications, 46 (2010), 113--133.
  40. Y. Takano and Y. Yamamoto: Metric-preserving reduction of earth mover's distance. Asia-Pacific Journal of Operational Research, 27 (2010), 39--54.
  41. 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. Y. Uehara, N. Nishimura, Y. Li, J. Yang, D. Jobson, K. Ohashi, T. Matsumoto, N. Sukegawa, and Y. Takano: Robust portfolio optimization model for electronic coupon allocation. AAAI 2024 Workshop on Artificial Intelligence for Operations Research, Vancouver Convention Centre, Vancouver, Canada, February 26, 2024.
  2. 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.
  3. 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%
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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 design method of the joint venture formation in EPC projects. Intelligent Engineering and Management for Industry 4.0 (2022), 137--146.
  2. 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.
  3. 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.
  4. 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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