Matteo Castiglioni

research

∙ 09/18/2023

Learning Optimal Contracts: How to Exploit Small Action Spaces

We study principal-agent problems in which a principal commits to an out...

0 Francesco Bacchiocchi, et al. ∙

research

∙ 07/12/2023

Online Information Acquisition: Hiring Multiple Agents

We investigate the mechanism design problem faced by a principal who hir...

0 Federico Cacciamani, et al. ∙

research

∙ 06/21/2023

Persuading Farsighted Receivers in MDPs: the Power of Honesty

Bayesian persuasion studies the problem faced by an informed sender who ...

0 Martino Bernasconi, et al. ∙

research

∙ 06/14/2023

Bandits with Replenishable Knapsacks: the Best of both Worlds

The bandits with knapsack (BwK) framework models online decision-making ...

0 Martino Bernasconi, et al. ∙

research

∙ 04/27/2023

A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints

We study online learning in episodic constrained Markov decision process...

0 Jacopo Germano, et al. ∙

research

∙ 03/02/2023

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion

Bayesian persuasion studies how an informed sender should influence beli...

0 Martino Bernasconi, et al. ∙

research

∙ 02/06/2023

Online Mechanism Design for Information Acquisition

We study the problem of designing mechanisms for information acquisition...

0 Federico Cacciamani, et al. ∙

research

∙ 02/02/2023

Online Bidding in Repeated Non-Truthful Auctions under Budget and ROI Constraints

Online advertising platforms typically use auction mechanisms to allocat...

0 Matteo Castiglioni, et al. ∙

research

∙ 01/31/2023

Selling Information while Being an Interested Party

We study the algorithmic problem faced by an information holder (seller)...

0 Matteo Castiglioni, et al. ∙

research

∙ 01/31/2023

Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcome

We study hidden-action principal-agent problems with multiple agents. Th...

0 Matteo Castiglioni, et al. ∙

research

∙ 01/31/2023

Constrained Phi-Equilibria

The computational study of equilibria involving constraints on players' ...

0 Martino Bernasconi, et al. ∙

research

∙ 09/15/2022

A Unifying Framework for Online Optimization with Long-Term Constraints

We study online learning problems in which a decision maker has to take ...

0 Matteo Castiglioni, et al. ∙

research

∙ 09/08/2022

Sequential Information Design: Learning to Persuade in the Dark

We study a repeated information design problem faced by an informed send...

0 Martino Bernasconi, et al. ∙

research

∙ 04/28/2022

The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding

The increasing competition in digital advertising induced a proliferatio...

0 Giulia Romano, et al. ∙

research

∙ 02/28/2022

Online Learning with Knapsacks: the Best of Both Worlds

We study online learning problems in which a decision maker wants to max...

0 Matteo Castiglioni, et al. ∙

research

∙ 02/22/2022

Designing Menus of Contracts Efficiently: The Power of Randomization

We study hidden-action principal-agent problems in which a principal com...

0 Matteo Castiglioni, et al. ∙

research

∙ 02/01/2022

Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting

Bayesian persuasion studies how an informed sender should partially disc...

0 Matteo Castiglioni, et al. ∙

research

∙ 01/28/2022

Efficiency of Ad Auctions with Price Displaying

Most of the economic reports forecast that almost half of the worldwide ...

0 Matteo Castiglioni, et al. ∙

research

∙ 01/28/2022

Signaling in Posted Price Auctions

We study single-item single-unit Bayesian posted price auctions, where b...

0 Matteo Castiglioni, et al. ∙

research

∙ 01/24/2022

Public Signaling in Bayesian Ad Auctions

We study signaling in Bayesian ad auctions, in which bidders' valuations...

0 Francesco Bacchiocchi, et al. ∙

research

∙ 01/18/2022

Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty

In online marketing, the advertisers' goal is usually a tradeoff between...

0 Matteo Castiglioni, et al. ∙

research

∙ 06/11/2021

Multi-Receiver Online Bayesian Persuasion

Bayesian persuasion studies how an informed sender should partially disc...

0 Matteo Castiglioni, et al. ∙

research

∙ 06/01/2021

Bayesian Agency: Linear versus Tractable Contracts

We study principal-agent problems in which a principal commits to an out...

0 Matteo Castiglioni, et al. ∙

research

∙ 12/09/2020

Persuading Voters in District-based Elections

We focus on the scenario in which an agent can exploit his information a...

0 Matteo Castiglioni, et al. ∙

research

∙ 02/12/2020

Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry

Network congestion games are a well-understood model of multi-agent stra...

0 Matteo Castiglioni, et al. ∙

research

∙ 02/12/2020

Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive

Persuasion studies how an informed principal may influence the behavior ...

0 Matteo Castiglioni, et al. ∙

research

∙ 11/14/2019

Election Control in Social Networks via Edge Addition or Removal

We focus on the scenario in which messages pro and/or against one or mul...

0 Matteo Castiglioni, et al. ∙

research

∙ 08/28/2019

Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud

We focus on the following natural question: is it possible to influence ...

0 Matteo Castiglioni, et al. ∙

research

∙ 05/30/2019

Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions (Extended Version)

We study the problem of finding Stackelberg equilibria in games with a m...

0 Alberto Marchesi, et al. ∙

research

∙ 05/30/2019

Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders (Extended Version)

We study the problem of computing correlated strategies to commit to in ...

0 Matteo Castiglioni, et al. ∙

research

∙ 02/11/2019

Election Manipulation on Social Networks with Messages on Multiple Candidates

We study the problem of election control through social influence when t...

0 Matteo Castiglioni, et al. ∙

research

∙ 02/11/2019

Election Manipulation on Social Networks with Positive and Negative Messages

We study the problem of election control through social influence when t...

0 Matteo Castiglioni, et al. ∙

research

∙ 08/30/2018

Leadership in Singleton Congestion Games: What is Hard and What is Easy

We study the problem of computing Stackelberg equilibria Stackelberg gam...

0 Matteo Castiglioni, et al. ∙

Matteo Castiglioni

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