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Uplifting Contextual Multi-armed Bandits
2019Applying causal inference models in areas such as economics, healthcare and marketing receives great interest from the machine learning community. In particular, estimating the individual-treatment-effect (ITE) in settings such as precision medicine and targeted advertising has peaked application.
Berrevoets, Jeroen +2 more
openaire +2 more sources
Sample mean based index policies by O(log n) regret for the multi-armed bandit problem
Advances in Applied Probability, 1995R. Agrawal
semanticscholar +1 more source
Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments
Marketing Science, 2017Peter Fader
exaly
Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
Foundations and Trends in Machine Learning, 2012Sebastien Bubeck +1 more
exaly
The Nonstochastic Multiarmed Bandit Problem
SIAM Journal on Computing, 2002Peter Auer, Nicolò Antonio Cesa-Bianchi
exaly
Risk-Averse Multi-Armed Bandit Problems Under Mean-Variance Measure
IEEE Journal on Selected Topics in Signal Processing, 2016Sattar Vakili, Qing Zhao
exaly
Online Convex Optimization With Time-Varying Constraints and Bandit Feedback
IEEE Transactions on Automatic Control, 2019Xuanyu Cao, K J Ray Liu
exaly