We consider the problem of evaluating forecasts of binary events whose
p...
We study the prophet secretary problem, a well-studied variant of the cl...
Myerson's regularity condition of a distribution is a standard assumptio...
A recent line of research has established a novel desideratum for design...
The common way to optimize auction and pricing systems is to set aside a...
In this work, we study a scenario where a publisher seeks to maximize it...
We study the worst-case welfare of item pricing in the tollbooth problem...
We study the revenue guarantees and approximability of item pricing. Rec...
In the Learning to Price setting, a seller posts prices over time with t...
We study the multi-item mechanism design problem where a monopolist sell...
We consider a setting in which bidders participate in multiple auctions ...
Classical algorithm design is geared towards worst case instances and fa...
Buying and selling of data online has increased substantially over the l...
Multi-item mechanisms can be very complex offering many different bundle...
Multi-item mechanisms can be very complex offering many different bundle...
We consider the problem of truthful online resource allocation to maximi...