Multi-armed bandits a simple but very powerful framework for algorithms that make
decisions over time under uncertainty. An enormous body of work has accumulated over the …

The increasingly tight coupling between humans and system operations in domains ranging
from intelligent infrastructure to e-commerce has led to a challenging new class of problems …

This article studies how a recommender system may incentivize users to learn about a
product collaboratively. To improve the incentives for early exploration, the optimal design …

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 …

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 …

Persuasion, defined as the act of exploiting an informational advantage in order to effect the
decisions of others, is ubiquitous. Indeed, persuasive communication has been estimated to …

In today's economy, it becomes important for Internet platforms to consider the sequential
information design problem to align its long term interest with incentives of the gig service …

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

We consider the problem of optimal information sharing in an unobservable single-server
queue offering service at a fixed price to a Poisson arrival of delay-sensitive customers. The …

We consider a ubiquitous scenario in the internet economy when individual decision makers
(henceforth, agents) both produce and consume information as they make strategic choices …