We consider the problem of decision-making under uncertainty in an environment with
safety constraints. Many business and industrial applications rely on real-time optimization …

There is a rising interest in industrial online applications where data becomes available
sequentially. Inspired by the recommendation of playlists to users where their preferences …

The increasing competition in digital advertising induced a proliferation of media agencies
playing the role of intermediaries between advertisers and platforms selling ad slots. When a …

Nowadays online advertisers acquire ad impressions from digital advertising channels
through operating on their au-tobidding platforms: advertisers express high level ad …

The increasing demand for privacy in digital transactions presents unique challenges for
platforms that manage bidding processes. As platforms adopt strong privacy measures to …

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 …

Digital marketing is increasingly reliant on data-driven strategies, heightening the demand
for privacy-preserving methods. This research examines different differential privacy …

Most of the economic reports forecast that artificial intelligence (AI) will unlock up to 12
trillion USD per year worldwide by the next decade, and almost half of this amount will …

Signaling in Bayesian Posted Price Auctions Page 1 Signaling in Bayesian Posted Price
Auctions Matteo Castiglioni Politecnico di Milano Milano, Italy matteo.castiglioni@polimi.it …

The online advertising market is experiencing the most flourishing period ever observed so
far. The profit recorded in 2021 was 189 billion dollars, corresponding to an increase of …