Japan
サイト内の現在位置
NECの研究者
2024年1月5日
竹村 慧 （Kei Takemura）
研究分野
- 数理計画
- オンライン最適化
論文
- 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.
学会発表
- 竹村慧, 動的環境におけるエキスパート問題に対する計算効率の良いアルゴリズム, 第25回情報論的学習理論ワークショップ(IBIS2022)（ポスター発表）, 2022．
- 竹村慧, 性能保証制約をもつ文脈付き組合せセミバンディット, 第24回情報論的学習理論ワークショップ(IBIS2021)（ポスター発表）, 2021．
- 竹村慧, 中口悠輝, 落とし穴状態の存在するMDPに対するオンライン強化学習, 第22回情報論的学習理論ワークショップ(IBIS2019)（ポスター発表）, 2019．
- 竹村慧, 伊藤伸志, 組合せ線形バンディットに対するトンプソンサンプリング, 第21回情報論的学習理論ワークショップ(IBIS2018)（ポスター発表）, 2018．
- Kei Takemura, Makoto Yamashita, A Numerically Stable Primal-Dual Interior-Point Method for SDP, International Conference on Continuous Optimization (ICCOPT), Tokyo, 2016.
受賞等
- IDW Challenge Award, 22nd International Display Workshops (IDW), 2015.
所属学会
- 日本オペレーションズ・リサーチ学会
略歴
- 2015年3月
-
東京工業大学 理学部 情報科学科 卒業（学士）
- 2017年3月
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東京工業大学 大学院情報理工学研究科 数理・計算科学専攻 修了（修士）
- 2017年4月
-
NEC入社
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