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ORCIDTakuro Fukunaga
- > Home > Persons > Takuro Fukunaga
Publications
- 2024
[c43]Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem. AAAI 2024: 12708-12716- 2023
- [c42]Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Bandit Task Assignment with Unknown Processing Time. NeurIPS 2023 - [i13]Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
New classes of the greedy-applicable arm feature distributions in the sparse linear bandit problem. CoRR abs/2312.12400 (2023) - 2022
- [c41]Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Online Task Assignment Problems with Reusable Resources. AAAI 2022: 5199-5207 - [i12]Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Online Task Assignment Problems with Reusable Resources. CoRR abs/2203.07605 (2022) - 2021
- [c39]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. AAAI 2021: 9791-9798 - [c38]Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits. AISTATS 2021: 3367-3375 - [i11]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. CoRR abs/2101.07957 (2021) - 2020
- [c36]Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Delay and Cooperation in Nonstochastic Linear Bandits. NeurIPS 2020 - 2019
- [c33]Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi:
Stochastic Submodular Maximization with Performance-Dependent Item Costs. AAAI 2019: 1485-1494 - [c32]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. NeurIPS 2019: 10589-10598 - [c31]Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Improved Regret Bounds for Bandit Combinatorial Optimization. NeurIPS 2019: 12027-12036 - 2018
- [c30]Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Online Regression with Partial Information: Generalization and Linear Projection. AISTATS 2018: 1599-1607 - [c28]Naoto Ohsaka
, Tomohiro Sonobe, Naonori Kakimura, Takuro Fukunaga, Sumio Fujita, Ken-ichi Kawarabayashi:
Boosting PageRank Scores by Optimizing Internal Link Structure. DEXA (1) 2018: 424-439 - [c27]Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi:
Causal Bandits with Propagating Inference. ICML 2018: 5508-5516 - [c25]Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint. NeurIPS 2018: 10611-10620 - [i8]Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi:
Causal Bandits with Propagating Inference. CoRR abs/1806.02252 (2018) - 2017
- [c24]Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. AAAI 2017: 1992-1999 - [c22]Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation. NIPS 2017: 4099-4108 - 2016
- [c20]Daisuke Hatano, Takuro Fukunaga, Ken-ichi Kawarabayashi:
Adaptive Budget Allocation for Maximizing Influence of Advertisements. IJCAI 2016: 3600-3608 - 2015
- [c19]Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
Lagrangian Decomposition Algorithm for Allocating Marketing Channels. AAAI 2015: 1144-1150
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