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オンライン最適化に関する論文リスト
研究成果：オンライン最適化に関する論文一覧
Ito, Shinji, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, and Ken-Ichi Kawarabayashi. "Efficient sublinear-regret algorithms for online sparse linear regression with limited observation." Advances in Neural Information Processing Systems 30 (2017).- Ito, Shinji, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, and Ken-Ichi Kawarabayashi. "Online regression with partial information: Generalization and linear projection." International Conference on Artificial Intelligence and Statistics. PMLR, 2018.
- Yabe, Akihiro, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, and Ken-ichi Kawarabayashi. "Causal bandits with propagating inference." International Conference on Machine Learning. PMLR, 2018.
- Ito, Shinji, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, and Ken-Ichi Kawarabayashi. "Regret bounds for online portfolio selection with a cardinality constraint." Advances in Neural Information Processing Systems 31 (2018).
- Takemura, Kei, and Shinji Ito. "An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits." 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019.
- Ito, Shinji. "Submodular function minimization with noisy evaluation oracle." Advances in Neural Information Processing Systems 32 (2019).
- Ito, Shinji, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, and Ken-Ichi Kawarabayashi. "Improved regret bounds for bandit combinatorial optimization." Advances in Neural Information Processing Systems 32 (2019).
- Ito, Shinji, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, and Ken-Ichi Kawarabayashi. "Oracle-efficient algorithms for online linear optimization with bandit feedback." Advances in Neural Information Processing Systems 32 (2019).
- Ito, Shinji, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, and Ken-Ichi Kawarabayashi. "Delay and cooperation in nonstochastic linear bandits." Advances in Neural Information Processing Systems 33 (2020): 4872-4883.
- Ito, Shinji. "An optimal algorithm for bandit convex optimization with strongly-convex and smooth loss." International Conference on Artificial Intelligence and Statistics. PMLR, 2020.
- Ito, Shinji. "A tight lower bound and efficient reduction for swap regret." Advances in Neural Information Processing Systems 33 (2020): 18550-18559.
- Ito, Shinji, Shuichi Hirahara, Tasuku Soma, and Yuichi Yoshida. "Tight first-and second-order regret bounds for adversarial linear bandits." Advances in Neural Information Processing Systems 33 (2020): 2028-2038.
- Takemura, Kei, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, and Ken-ichi Kawarabayashi. "A parameter-free algorithm for misspecified linear contextual bandits." International Conference on Artificial Intelligence and Statistics. PMLR, 2021.
- Takemura, Kei, et al. "Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 11. 2021.
- Matsuoka, Tatsuya, Shinji Ito, and Naoto Ohsaka. "Tracking Regret Bounds for Online Submodular Optimization." International Conference on Artificial Intelligence and Statistics. PMLR, 2021.
- Ito, Shinji. "Parameter-free multi-armed bandit algorithms with hybrid data-dependent regret bounds." Conference on Learning Theory. PMLR, 2021.
- Ito, Shinji. "Hybrid regret bounds for combinatorial semi-bandits and adversarial linear bandits." Advances in Neural Information Processing Systems 34 (2021).
- Ito, Shinji. "On optimal robustness to adversarial corruption in online decision problems." Advances in Neural Information Processing Systems 34 (2021).
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