We study the implications of aggregating consumers' purchase histories into scores that
proxy for unobserved willingness to pay. A long-lived consumer interacts with a sequence of …

Online auctions are one of the most fundamental facets of the modern economy and power
an industry generating hundreds of billions of dollars a year in revenue. Auction theory has …

First-price auctions have very recently swept the online advertising industry, replacing
second-price auctions as the predominant auction mechanism on many platforms. This shift …

We consider the problem of the optimization of bidding strategies in prior-dependent
revenue-maximizing auctions, when the seller fixes the reserve prices based on the bid …

We address the problem of improving bidders' strategies in prior-dependent revenue-
maximizing auctions and introduce a simple and generic method to design novel bidding …

This thesis revolves around the problem of selling and advertising products on the Web and
exploits techniques from the fields of algorithmic game theory, mechanism design, and …

We address the problem of improving bidders' strategies in prior-dependent revenue-
maximizing auctions and introduce a simple and generic method to design novel bidding …

What is the best we can do with the amount of data at our disposal with a given learning
task? Modern learning problems with a modest amount of data or subject to data processing …

In the current paper, the binomial tree is used to derive the optimal stopping time for seller of
a commodity in a specified auction. It is assumed that the bids signals have valuable …