We study a data-driven problem pricing problem in which a seller offers a price for a single
item based on demand observed at a small finite number of historical prices. Our goal is to …

In this paper, we investigate a problem of actively learning threshold in latent space, where
the unknown reward $ g (\gamma, v) $ depends on the proposed threshold $\gamma $ and …