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Akihiro Yabe's Page

Akihiro Yabe

Data Mining Technology Group
Data Science Research Laboratories
NEC Corporation

Address:
1753, Shimonumabe, Nakahara-ku, Kawasaki-shi, Kanagawa, 211-8666, Japan

Research Domains

  • Optimization
  • Machine Learning

Publication List

  • Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi. Causal Bandit with Propagating Inference, The 35th International Conference on Machine Learning (ICML 2018)
  • Shinji Ito, Akihiro Yabe, Ryohei Fujimaki Unbiased Objective Estimation in Predictive Optimization The 35th International Conference on Machine Learning (ICML 2018)
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Online Regression with Partial Information: Generalization and Linear Projection, International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation, Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017
  • A. Yabe, S. Ito and R. Fujimaki, Robust Quadratic Programming for Price Optimization, International Joint Conference on Artificial Intelligence (IJCAI), 2017
  • Akihiro Yabe, Bi-polynomial rank and determinantal complexity, preprint, 2015.
  • Hiroshi Hirai, Akihiro Yabe, A Combinatorial Formula for Principal Minors of a Matrix with Tree-metric Exponents and Its Applications, Journal of Combinatorial Theory, Series A, 2015.

Curriculum Vitae

Educational Background

  • March 2013: B.S. in Department of Mathematical Engineering and Information Physics, The University of Tokyo
  • March 2015: M.S. in Graduate School of Information Science and Technology, The University of Tokyo

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