activity
20182022
most citedLearning to Correlate in Multi-Player General-Sum Sequential Games

20 citations · 40 across the 12 of their papers we have counts for

collaborators

17 papers

cs.GT20222 cited

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…

cs.GT20221 cited

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.…

cs.GT20221 cited

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…

cs.GT20216 cited

Multi-Receiver Online Bayesian Persuasion

Matteo Castiglioni, Alberto Marchesi, Andrea Celli +1

Bayesian persuasion studies how an informed sender should partially disclose information to influence the behavior of a self-interested receiver. Classical models make the stringen…

cs.GT2021

Bayesian Agency: Linear versus Tractable Contracts

Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

We study principal-agent problems in which a principal commits to an outcome-dependent payment scheme (a.k.a. contract) so as to induce an agent to take a costly, unobservable acti…

cs.GT2021

Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

Gabriele Farina, Andrea Celli, Alberto Marchesi +1

The existence of simple uncoupled no-regret learning dynamics that converge to correlated equilibria in normal-form games is a celebrated result in the theory of multi-agent system…