Optimal rates and efficient algorithms for online Bayesian persuasion

M Bernasconi, M Castiglioni, A Celli… - International …, 2023 - proceedings.mlr.press
Bayesian persuasion studies how an informed sender should influence beliefs of rational
receivers that take decisions through Bayesian updating of a common prior. We focus on the …

Sequential information design: Learning to persuade in the dark

M Bernasconi, M Castiglioni… - Advances in …, 2022 - proceedings.neurips.cc
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 receiver …

Markov persuasion processes: Learning to persuade from scratch

F Bacchiocchi, FE Stradi, M Castiglioni… - arXiv preprint arXiv …, 2024 - arxiv.org
In Bayesian persuasion, an informed sender strategically discloses information to a receiver
so as to persuade them to undertake desirable actions. Recently, a growing attention has …

Regret minimization in online Bayesian persuasion: Handling adversarial receiver's types under full and partial feedback models

M Castiglioni, A Celli, A Marchesi, N Gatti - Artificial Intelligence, 2023 - Elsevier
In Bayesian persuasion, an informed sender has to design a signaling scheme that
discloses the right amount of information so as to influence the behavior of a self-interested …

Bayesian persuasion meets mechanism design: Going beyond intractability with type reporting

M Castiglioni, A Marchesi, N Gatti - arXiv preprint arXiv:2202.00605, 2022 - arxiv.org
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 …

Algorithmic Information Disclosure in Optimal Auctions

Y Cai, Y Li, J Wu - Proceedings of the 25th ACM Conference on …, 2024 - dl.acm.org
Classical auction theory typically focuses on models with exogenous signal structures,
where all auction participants privately know their item valuations. However, practical …

[HTML][HTML] Increasing revenue in Bayesian posted price auctions through signaling

M Castiglioni, A Marchesi, G Romano, N Gatti - Artificial Intelligence, 2023 - Elsevier
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 …

Online Bayesian Persuasion Without a Clue

F Bacchiocchi, M Bollini, M Castiglioni… - arXiv preprint arXiv …, 2024 - arxiv.org
We study online Bayesian persuasion problems in which an informed sender repeatedly
faces a receiver with the goal of influencing their behavior through the provision of payoff …

[PDF][PDF] Optimal Rates for Online Bayesian Persuasion

M Bernasconi, M Castiglioni, A Celli, A Marchesi… - Proceedings of …, 2023 - ceur-ws.org
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 …

Bayesian Persuasion with Externalities: Exploiting Agent Types

J Shaki, J Gan, S Kraus - arXiv preprint arXiv:2412.12859, 2024 - arxiv.org
We study a Bayesian persuasion problem with externalities. In this model, a principal sends
signals to inform multiple agents about the state of the world. Simultaneously, due to the …