6 citations · 39 across the 63 of their papers we have counts for
10 papers · 1 filter
A Unifying Framework for Online Optimization with Long-Term Constraints
Matteo Castiglioni, Andrea Celli, Alberto Marchesi +2
We study online learning problems in which a decision maker has to take a sequence of decisions subject to long-term constraints. The goal of the decision maker is to maximize…
Sequential Information Design: Learning to Persuade in the Dark
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi +2
We study a repeated information design problem faced by an informed sender who tries to influence the behavior of a self-interested receiver. We consider settings where the receive…
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding
Giulia Romano, Matteo Castiglioni, Alberto Marchesi +1
The increasing competition in digital advertising induced a proliferation of media agencies playing the role of intermediaries between advertisers and platforms selling ad slots. W…
Best of Many Worlds Guarantees for Online Learning with Knapsacks
Andrea Celli, Matteo Castiglioni, Christian Kroer
We study online learning problems in which a decision maker wants to maximize their expected reward without violating a finite set of resource constraints. By casting the learn…
Designing Menus of Contracts Efficiently: The Power of Randomization
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
We study hidden-action principal-agent problems in which a principal commits to an outcome-dependent payment scheme (called contract) so as to incentivize the agent to take a costl…
Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Bayesian persuasion studies how an informed sender should partially disclose information so as to influence the behavior of self-interested receivers. In the last years, a growing…
Efficiency of Ad Auctions with Price Displaying
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti +2
Most of the economic reports forecast that almost half of the worldwide market value unlocked by AI over the next decade (up to 6 trillion USD per year) will be in marketing&sales.…
Public Signaling in Bayesian Ad Auctions
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi +2
We study signaling in Bayesian ad auctions, in which bidders' valuations depend on a random, unknown state of nature. The auction mechanism has complete knowledge of the actual sta…
Signaling in Posted Price Auctions
Matteo Castiglioni, Giulia Romano, Alberto Marchesi +1
We study single-item single-unit Bayesian posted price auctions, where buyers arrive sequentially and their valuations for the item being sold depend on a random, unknown state of…
Safe Online Bid Optimization with Return on Investment and Budget Constraints
Matteo Castiglioni, Alessandro Nuara, Giulia Romano +3
In online marketing, the advertisers aim to balance achieving high volumes and high profitability. The companies' business units address this tradeoff by maximizing the volumes whi…