Sumita, Hanna

21 publications

ECML-PKDD 2025 Bandit Max-Min Fair Allocation Tsubasa Harada, Shinji Ito, Hanna Sumita

AAAI 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

AAAI 2024 Towards Optimal Subsidy Bounds for Envy-Freeable Allocations Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Makoto Yokoo

NeurIPS 2023 Bandit Task Assignment with Unknown Processing Time Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

IJCAI 2023 Fair Division with Two-Sided Preferences Ayumi Igarashi, Yasushi Kawase, Warut Suksompong, Hanna Sumita

IJCAI 2023 Random Assignment of Indivisible Goods Under Constraints Yasushi Kawase, Hanna Sumita, Yu Yokoi

AAAI 2022 Online Task Assignment Problems with Reusable Resources Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

AISTATS 2021 A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

AAAI 2021 Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2020 Delay and Cooperation in Nonstochastic Linear Bandits Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

AAAI 2020 On the Max-Min Fair Stochastic Allocation of Indivisible Goods Yasushi Kawase, Hanna Sumita

NeurIPS 2019 Improved Regret Bounds for Bandit Combinatorial Optimization Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

NeurIPS 2019 Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

AAAI 2019 Randomized Strategies for Robust Combinatorial Optimization Yasushi Kawase, Hanna Sumita

ICML 2018 Causal Bandits with Propagating Inference Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi

AISTATS 2018 Online Regression with Partial Information: Generalization and Linear Projection Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

IJCAI 2017 An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization Hanna Sumita, Yuma Yonebayashi, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2017 Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

IJCAI 2017 Online Optimization of Video-Ad Allocation Hanna Sumita, Yasushi Kawase, Sumio Fujita, Takuro Fukunaga

AAAI 2017 Optimal Pricing for Submodular Valuations with Bounded Curvature Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi