Kei Takemura

According to our database1, Kei Takemura authored at least 11 papers between 2019 and 2023.

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Bibliography

2023
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bandit Task Assignment with Unknown Processing Time.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contextual Conservative Interleaving Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Online Task Assignment Problems with Reusable Resources.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Delay and Cooperation in Nonstochastic Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Improved Regret Bounds for Bandit Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019


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