70 citations · 245 across the 36 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017★ 18 cited
Fully adaptive algorithm for pure exploration in linear bandits
Liyuan Xu, Junya Honda, Masashi Sugiyama
We propose the first fully-adaptive algorithm for pure exploration in linear bandits---the task to find the arm with the largest expected reward, which depends on an unknown parame…
stat.ML2017
Good Arm Identification via Bandit Feedback
Hideaki Kano, Junya Honda, Kentaro Sakamaki +3
We consider a novel stochastic multi-armed bandit problem called {\em good arm identification} (GAI), where a good arm is defined as an arm with expected reward greater than or equ…