Web: http://arxiv.org/abs/2205.04528

May 11, 2022, 1:11 a.m. | Claudia Roberts, Maria Dimakopoulou, Qifeng Qiao, Ashok Chandrashekhar, Tony Jebara

cs.LG updates on arXiv.org arxiv.org

Contextual bandits are widely used in industrial personalization systems.
These online learning frameworks learn a treatment assignment policy in the
presence of treatment effects that vary with the observed contextual features
of the users. While personalization creates a rich user experience that reflect
individual interests, there are benefits of a shared experience across a
community that enable participation in the zeitgeist. Such benefits are
emergent through network effects and are not captured in regret metrics
typically employed in evaluating bandits. …


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