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Our Researchers

January 5, 2024

Kei Takemura

Research Domains

  • Mathematical programming
  • Online optimization

Papers

  • Shinji Ito, Kei Takemura, An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits, the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Bandit Task Assignment with Unknown Processing Time, the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
  • Kei Takemura, Contextual Conservative Interleaving Bandits, the 40th International Conference on Machine Learning (ICML), 2023.
  • Shinji Ito, Kei Takemura, Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds, the 36th Annual Conference on Learning Theory (COLT), 2023.
  • Sumita Hanna, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Online Task Assignment Problems with Reusable Resources, the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.
  • Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits, the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
  • Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions, the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Delay and Cooperation in Nonstochastic Linear Bandits, the 34th Annual Conference on Neural Information Processing Systems (NeurIPS), 2020. # Selected for spotlight presentation
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback, the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Improved Regret Bounds for Bandit Combinatorial Optimization, the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.
  • Kei Takemura, Shinji Ito, An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits, the 2019 IEEE International Conference on Data Mining (ICDM), 2019.
  • Yu Yoneda, Yue Dong, Teppei Fujita, Hirotada Kiriyama, Kei Takemura, Kenta Iwasaki, Rino Urushihara, Taro Ichii, Development of Poor Man's 3D-AR Platform for Amateur Game Creators, the 22nd International Display Workshops (IDW), 2015.

Conference Presentation

  • Kei Takemura, Makoto Yamashita, A Numerically Stable Primal-Dual Interior-Point Method for SDP, International Conference on Continuous Optimization (ICCOPT), Tokyo, 2016.

Awards

  • IDW Challenge Award, 22nd International Display Workshops (IDW), 2015.

Memberships

  • The Operations Research Society of Japan

Biography

March 2015
Bachelor of Science in Graduate School of Information Science and Engineering, Tokyo Institute of Technology
March 2017
Master of Science in Department of Mathematical and Computing Sciences, Tokyo Institute of Technology
April 2017
NEC

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