3 citations · 3 across the 2 of their papers we have counts for
4 papers
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
Martino Bernasconi, Matteo Castiglioni, Andrea Celli +3
Bayesian persuasion studies how an informed sender should influence beliefs of rational receivers who take decisions through Bayesian updating of a common prior. We focus on the on…
Last-iterate Convergence to Trembling-hand Perfect Equilibria
Martino Bernasconi, Alberto Marchesi, Francesco Trovò
Designing efficient algorithms to find Nash equilibrium (NE) refinements in sequential games is of paramount importance in practice. Indeed, it is well known that the NE has severa…
Machine Learning Techniques for Stackelberg Security Games: a Survey
Giuseppe De Nittis, Francesco Trovò
The present survey aims at presenting the current machine learning techniques employed in security games domains. Specifically, we focused on papers and works developed by the Team…
Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities
Nicola Gatti, Alessandro Lazaric, Marco Rocco +1
Sponsored search auctions constitute one of the most successful applications of microeconomic mechanisms. In mechanism design, auctions are usually designed to incentivize advertis…