73 search results - page 1 / 15 » Stochastic Linear Optimization under Bandit Feedback |
COLT
2008
Springer
13 years 6 months ago
2008
Springer
CORR
2012
Springer
12 years 20 days ago
2012
Springer
We address the online linear optimization problem with bandit feedback. Our contribution is twofold. First, we provide an algorithm (based on exponential weights) with a regret of...
FOCS
2007
IEEE
13 years 11 months ago
2007
IEEE
We consider a variant of the classic multi-armed bandit problem (MAB), which we call FEEDBACK MAB, where the reward obtained by playing each of n independent arms varies according...
JMLR
2010
12 years 11 months ago
2010
This work deals with four classical prediction settings, namely full information, bandit, label efficient and bandit label efficient as well as four different notions of regret: p...
JMLR
2012
11 years 7 months ago
2012
We develop a new tool for data-dependent analysis of the exploration-exploitation trade-off in learning under limited feedback. Our tool is based on two main ingredients. The fi...