Incentivized Exploration via Filtered Posterior Sampling

Anand Kalvit, Aleksandrs Slivkins, Yonatan Gur

We study "incentivized exploration" (IE) in social learning problems where the principal (a recommendation algorithm) can leverage information asymmetry to incentivize sequentially…