Kei Takemura

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Payoff Functions

Online Learning

Multi Armed Bandits

Top Venues

Publications

Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
Bandit Task Assignment with Unknown Processing Time. NeurIPS (2023)
Shinji Ito, Kei Takemura
Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds. COLT (2023)
Shinji Ito, Kei Takemura
Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds. CoRR (2023)
Kei Takemura
Contextual Conservative Interleaving Bandits. ICML (2023)
Shinji Ito, Kei Takemura
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits. NeurIPS (2023)
Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
Online Task Assignment Problems with Reusable Resources. AAAI (2022)
Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
Online Task Assignment Problems with Reusable Resources. CoRR (2022)
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 (2021)
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)
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)
Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
Delay and Cooperation in Nonstochastic Linear Bandits. NeurIPS (2020)
Kei Takemura, Shinji Ito
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits. ICDM (2019)
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)
Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
Improved Regret Bounds for Bandit Combinatorial Optimization. NeurIPS (2019)
Kei Takemura, Shinji Ito
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits. CoRR (2019)