We study contextual search, a generalization of binary search in higher dimensions, which captures settings such as feature-based dynamic pricing. Standard formulations of this problem assume that …
We consider the problem of adversarial (nonstochastic) online learning with partial-information feedback, in which, at each round, a decision maker selects an action from a finite set of alternativ…
Optimizing shared vehicle systems (bike-/scooter-/car-/ride-sharing) are more challenging compared with traditional resource allocation settings because of the presence of complex network externali…