Fukunaga, Takuro

19 publications

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

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

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

ECML-PKDD 2020 End-to-End Learning for Prediction and Optimization with Gradient Boosting Takuya Konishi, Takuro Fukunaga

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 Stochastic Submodular Maximization with Performance-Dependent Item Costs Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi

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

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 Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi

IJCAI 2016 Adaptive Budget Allocation for Maximizing Influence of Advertisements Daisuke Hatano, Takuro Fukunaga, Ken-ichi Kawarabayashi

AAAI 2015 Lagrangian Decomposition Algorithm for Allocating Marketing Channels Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi

ICML 2015 Threshold Influence Model for Allocating Advertising Budgets Atsushi Miyauchi, Yuni Iwamasa, Takuro Fukunaga, Naonori Kakimura