Yuichi TAKANO (University of Tsukuba)

JP EN

Presentations

International Conferences/Seminars

  1. A. Watanabe, R. Tamura, Y. Takano, and R. Miyashiro: Branch-and-bound algorithm for optimal sparse canonical correlation analysis. INFORMS 2021 Annual Meeting, Online, October 24--27, 2021.
  2. Y. Takano: Best subset selection for linear regression models via mixed-integer optimization. NUS-Tsukuba Joint-Online-Workshop on "Sustainable Management and Data Sciences," Online, March 14--15, 2021.
  3. K. Kudo, Y. Takano, and R. Nomura: Stochastic discrete first-order algorithm for feature subset selection. INFORMS 2020 Annual Meeting, Online, November 8--11, 2020.
  4. Y. Takano and J. Gotoh: Dynamic portfolio selection with linear control policies for coherent risk minimization. Webinars of Quantitative Finance Program, Stony Brook University, Online, September 4, 2020.
  5. Y. Takano and J. Gotoh: Dynamic portfolio selection with linear control policies for coherent risk minimization. INFORMS 2019 Annual Meeting, Washington State Convention Center, Seattle, U.S.A., October 20--23, 2019.
  6. 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, Hakodate, Japan, August 26--31, 2019.
  7. Y. Takano and R. Miyashiro: Recent advances in mixed-integer optimization approaches to feature subset selection. INFORMS 2018 Annual Meeting, Phoenix Convention Center, Phoenix, U.S.A., November 4--7, 2018.
  8. 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, Houston, U.S.A., October 22--25, 2017.
  9. 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, Shinagawa, Japan, August 12--13, 2016.
  10. 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 (EURO2016), Poznan University of Technology, Poznan, Poland, July 3--6, 2016.
  11. Y. Takano: Feature subset selection for linear/logistic regression via mixed integer optimization. The 22nd International Symposium on Mathematical Programming (ISMP2015), Wyndham Grand Pittsburgh Downtown, Pittsburgh, U.S.A., July 12--17, 2015.
  12. 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 (EURO2013), Sapienza University of Rome, Rome, Italy, July 1--4, 2013.
  13. Y. Takano and J. Gotoh: Control policy optimization for dynamic asset allocation. INFORMS 2012 Annual Meeting, Phoenix Convention Center, Phoenix, U.S.A., October 14--17, 2012.
  14. 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 (ISMP2012), Berlin Institute of Technology, Berlin, Germany, August 19--24, 2012.
  15. Y. Takano and J. Gotoh: A nonlinear control policy using kernel method for dynamic asset allocation. INFORMS 2011 Annual Meeting, Charlotte Convention Center, Charlotte, U.S.A., November 13--16, 2011.
  16. Y. Takano and R. Sotirov: Polynomial optimization approach to constant rebalanced portfolio optimization. CentER Operations Research Seminar, Tilburg University, Tilburg, Netherlands, September 9, 2010.
  17. Y. Takano and Y. Yamamoto: Metric-preserving reduction of earth mover's distance. The 20th International Symposium on Mathematical Programming (ISMP2009), Chicago Marriott Downtown Magnificent Mile, Chicago, U.S.A., August 23--28, 2009.
  18. Y. Takano and J. Gotoh: Constant rebalanced portfolio optimization under nonlinear transaction costs. Modeling and Optimization: Theory and Applications (MOPTA2009), Lehigh University, Bethlehem, U.S.A., August 19--21, 2009.
  19. Y. Takano and J. Gotoh: Alpha-conservative approximation for probabilistically constrained convex programs. The 7th International Conference on Optimization: Techniques and Applications (ICOTA2007), Kobe International Conference Center, Kobe, Japan, December 12--15, 2007.
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