Yuichi TAKANO's Web Page

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 Yuichi TAKANO    Associate Professor, Department of Policy and Planning Sciences    Faculty of Engineering, Information and Systems, University of Tsukuba    Member, Center for Artificial Intelligence Research, University of Tsukuba Office: F1204 (12th Floor, F Building, Area 3, Tsukuba Campus (Access / Campus Map)) Address: 1-1-1 Tennodai, Tsukuba-shi, Ibaraki 305-8577, JAPAN Phone: +81-(0)29-853-5087 FAX: +81-(0)29-853-5070 E-mail: ytakano [at mark] sk.tsukuba.ac.jp See also: C-AIR / Google Scholar / ResearchGate
Contents

Biography
Educational Background:
• March 2005: Bachelor of Policy and Planning Sciences; Management Science and Engineering, College of Policy and Planning Sciences, University of Tsukuba
• March 2007: Master of Engineering; Master's Program in Social Systems Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba
• March 2010: Doctor of Engineering; Doctoral Program in Social Systems and Management, Graduate School of Systems and Information Engineering, University of Tsukuba
Job History:
• April 2009--March 2010: Research Fellow of the Japan Society for the Promotion of Science (DC2)
• April 2010--September 2010: Visiting Fellow; Department of Econometrics & Operations Research, Tilburg University, The Netherlands
• April 2010--November 2010: Research Fellow of the Japan Society for the Promotion of Science (PD)
• December 2010--March 2014: Assistant Professor; Department of Industrial Engineering and Management, Graduate School of Decision Science and Technology, Tokyo Institute of Technology
• April 2014--March 2016: Lecturer; School of Network and Information, Senshu University
• April 2016--February 2018: Associate Professor; School of Network and Information, Senshu University
• March 2018--present: Associate Professor; Department of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, University of Tsukuba

Research Areas

• Mathematical Optimization
• Financial Engineering
• Machine Learning
• Operations Research

Research Papers

Preprints:

Refereed Journal Papers:

1. K. Kobayashi and Y. Takano, A Branch-and-Cut Algorithm for Solving Mixed-integer Semidefinite Optimization Problems,'' Computational Optimization and Applications (in press).
2. 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, Vol. 37, No. 100877 (2019).
3. T. Sato, Y. Takano and T. Nakahara, Investigating Consumers' Store-Choice Behavior via Hierarchical Variable Selection,'' Advances in Data Analysis and Classification, Vol. 13, No. 3, pp. 621--639 (2019).
4. 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, Vol. E102-D, No. 5, pp. 1046--1053 (2019).
5. 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, Vol. 73, No. 2, pp. 431--446 (2019).
6. N. Nishimura, N. Sukegawa, Y. Takano and J. Iwanaga, A Latent-Class Model for Estimating Product-Choice Probabilities from Clickstream Data,'' Information Sciences, Vol. 429, No. 1, pp. 406--420 (2018).
7. Y. Takano, N. Ishii and M. Muraki, Determining Bid Markup and Resources Allocated to Cost Estimation in Competitive Bidding,'' Automation in Construction, Vol. 85, No. 1, pp. 358--368 (2018).
8. 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, Vol. 60, No. 3, pp. 321--336 (2017).
9. Y. Takano, N. Ishii and M. Muraki, Multi-Period Resource Allocation for Estimating Project Costs in Competitive Bidding,'' Central European Journal of Operations Research, Vol. 25, No. 2, pp. 303--323 (2017).
10. 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, Vol. 60, No. 1, pp. 1--14 (2017).
11. T. Sato, Y. Takano, R. Miyashiro and A. Yoshise, Feature Subset Selection for Logistic Regression via Mixed Integer Optimization,'' Computational Optimization and Applications, Vol. 64, No. 3, pp. 865--880 (2016).
12. J. Iwanaga, N. Nishimura, N. Sukegawa and Y. Takano, Estimating Product-Choice Probabilities from Recency and Frequency of Page Views,'' Knowledge-Based Systems, Vol. 99, No. 1, pp. 157--167 (2016).
13. 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, Vol. 10, No. 1, pp. 47--56 (2016).
14. 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, Vol. 5, No. 2, pp. 123--134 (2016).
15. R. Miyashiro and Y. Takano, Mixed Integer Second-Order Cone Programming Formulations for Variable Selection in Linear Regression,'' European Journal of Operational Research, Vol. 247, No. 3, pp. 721--731 (2015).
16. Y. Takano, K. Nanjo, N. Sukegawa and S. Mizuno, Cutting Plane Algorithms for Mean-CVaR Portfolio Optimization with Nonconvex Transaction Costs,'' Computational Management Science, Vol. 12, No. 2, pp. 319--340 (2015).
17. R. Miyashiro and Y. Takano, Subset Selection by Mallows' Cp: A Mixed Integer Programming Approach,'' Expert Systems with Applications, Vol. 42, No. 1, pp. 325--331 (2015).
18. Y. Takano and J. Gotoh, Multi-Period Portfolio Selection Using Kernel-Based Control Policy with Dimensionality Reduction,'' Expert Systems with Applications, Vol. 41, No. 8, pp. 3901--3914 (2014).
19. 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, Vol. 32, No. 3, pp. 519--528 (2014).
20. Y. Takano, N. Ishii and M. Muraki, A Sequential Competitive Bidding Strategy Considering Inaccurate Cost Estimates,'' OMEGA, The International Journal of Management Science, Vol. 42, No. 1, pp. 132--140 (2014).
21. Y. Takano and R. Sotirov, A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection,'' Computational Optimization and Applications, Vol. 52, No. 3, pp. 645--666 (2012).
22. Y. Takano and J. Gotoh, A Nonlinear Control Policy Using Kernel Method for Dynamic Asset Allocation,'' Journal of the Operations Research Society of Japan, Vol. 54, No. 4, pp. 201--218 (2011).
23. Y. Takano and J. Gotoh, Constant Rebalanced Portfolio Optimization under Nonlinear Transaction Costs,'' Asia-Pacific Financial Markets, Vol. 18, No. 2, pp. 191--211 (2011).
24. Y. Takano and J. Gotoh, Alpha-Conservative Approximation for Probabilistically Constrained Convex Programs,'' Computational Optimization and Applications, Vol. 46, No. 1, pp. 113--133 (2010).
25. Y. Takano and Y. Yamamoto, Metric-Preserving Reduction of Earth Mover's Distance,'' Asia-Pacific Journal of Operational Research, Vol. 27, No. 1, pp. 39--54 (2010).
26. J. Gotoh and Y. Takano, Newsvendor Solutions via Conditional Value-at-Risk Minimization,'' European Journal of Operational Research, Vol. 179, No. 1, pp. 80--96 (2007).
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), pp. ??--?? (2019).
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), pp. 1254--1263 (2019).
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 (2018).
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), pp. 155--162 (2017).
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), pp. 187--194 (2016).
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 (2015).
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), pp. 393--403 (2013).

Book Chapters:

1. N. Ishii, Y. Takano and M. Muraki, A Resource Flow Based Multistage Dynamic Scheduling Method for the State-Dependent Work,'' In M. Obaidat, T. Oren and F. Rango (eds.), Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing, Vol. 873, pp. 300--316 (2019).
2. N. Ishii, Y. Takano and M. Muraki, A Simulation-Based Dynamic Scheduling Method in Project Cost Estimation Process,'' In M. Obaidat, T. Oren and Y. Merkuryev (eds.), Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing, Vol. 676, pp. 261--279 (2018).
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,'' In M. Obaidat, S. Koziel, J. Kacprzyk,  L. Leifsson and T. Oren (eds.), Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing, Vol. 319, pp. 101--118 (2015).
Other Publications:
1. Y. Takano, S. Tsunoda and M. Muraki, Mathematical Optimization Models for Nonparametric Item Response Theory,'' Information Science and Applied Mathematics, Vol. 23, pp. 1--18 (2016).
2. Y. Takano and R. Sotirov, Towards Global Optimization of Constant Rebalanced Portfolio,'' Medium for Econometric Applications, Vol. 18, No. 4, pp. 22--28 (2012).

Presentations
1. Y. Takano and J. Gotoh, Dynamic Portfolio Selection with Linear Control Policies for Coherent Risk Minimization,'' INFORMS 2019 Annual Meeting, Washington State Convention Center, U.S.A., October 20--23, 2019.
2. Y. Takano and R. Miyashiro, Best Subset Selection via Cross-validation Criterion,'' International Conference on Nonlinear Analysis and Convex Analysis -- International Conference on Optimization Techniques and Applications (NACA-ICOTA2019), Future University Hakodate, Japan, August 26--31, 2019.
3. Y. Takano and R. Miyashiro, Recent Advances in Mixed-integer Optimization Approaches to Feature Subset Selection,'' INFORMS 2018 Annual Meeting, Phoenix Convention Center, U.S.A., November 4--7, 2018.
4. 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,'' INFORMS 2017 Annual Meeting, George R. Brown Convention Center, U.S.A., October 22--25, 2017.
5. Y. Takano, T. Sato, R. Miyashiro and A. Yoshise, Feature Subset Selection for Logistic Regression via Mixed Integer Optimization,'' Workshop on Advances in Optimization, TKP Shinagawa Conference Center, Japan, August 12--13, 2016.
6. Y. Takano, T. Sato, R. Miyashiro and A. Yoshise, Feature Subset Selection for Logistic Regression via Mixed Integer Optimization,'' The 28th European Conference on Operational Research (EURO 2016), Poznan University of Technology, Poland, July 3--6, 2016.
7. Y. Takano, Feature Subset Selection for Linear/Logistic Regression via Mixed Integer Optimization,'' The 22nd International Symposium on Mathematical Programming (ISMP 2015), Wyndham Grand Pittsburgh Downtown, U.S.A., July 12--17, 2015.
8. Y. Takano, K. Nanjo, N. Sukegawa and S. Mizuno, A Cutting Plane Algorithm for Mean-CVaR Portfolio Optimization under Nonconvex Transaction Costs,'' The 26th EURO-INFORMS Joint International Conference (EURO 2013), Sapienza University of Rome, Italy, July 1--4, 2013.
9. Y. Takano and J. Gotoh, Control Policy Optimization for Dynamic Asset Allocation,'' INFORMS 2012 Annual Meeting, Phoenix Convention Center, U.S.A., October 14--17, 2012.
10. Y. Takano and J. Gotoh, Control Policy Optimization for Dynamic Asset Allocation by Using Kernel Principal Component Analysis,'' The 21st International Symposium on Mathematical Programming (ISMP 2012), Berlin Institute of Technology, Germany, August 19--24, 2012.
11. Y. Takano and J. Gotoh, A Nonlinear Control Policy Using Kernel Method for Dynamic Asset Allocation,'' INFORMS 2011 Annual Meeting, Charlotte Convention Center, U.S.A., November 13--16, 2011.
12. Y. Takano and R. Sotirov, Polynomial Optimization Approach to Constant Rebalanced Portfolio Optimization,'' CentER Operations Research Seminar, Tilburg University, The Netherlands, September 9, 2010.
13. Y. Takano and Y. Yamamoto, Metric-Preserving Reduction of Earth Mover's Distance,'' The 20th International Symposium on Mathematical Programming (ISMP 2009), Chicago Marriott Downtown Magnificent Mile, U.S.A., August 23--28, 2009.
14. Y. Takano and J. Gotoh, Constant Rebalanced Portfolio Optimization under Nonlinear Transaction Costs,'' Modeling and Optimization: Theory and Applications (MOPTA 2009), Lehigh University, U.S.A., August 19--21, 2009.
15. Y. Takano and J. Gotoh, $\alpha$-Conservative Approximation for Probabilistically Constrained Convex Programs,'' The 7th International Conference on Optimization: Techniques and Applications (ICOTA 2007), Kobe International Conference Center, Japan, December 12--15, 2007.