2 citations · 6 across the 8 of their papers we have counts for
9 papers
Selling Information while Being an Interested Party
Matteo Castiglioni, Francesco Bacchiocchi, Alberto Marchesi +2
We study the algorithmic problem faced by an information holder (seller) who wants to optimally sell such information to a budged-constrained decision maker (buyer) that has to und…
A Unifying Framework for Online Optimization with Long-Term Constraints
Matteo Castiglioni, Andrea Celli, Alberto Marchesi +2
We study online learning problems in which a decision maker has to take a sequence of decisions subject to long-term constraints. The goal of the decision maker is to maximize…
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts
Giulia Romano, Andrea Agostini, Francesco Trovò +2
There is a rising interest in industrial online applications where data becomes available sequentially. Inspired by the recommendation of playlists to users where their preferences…
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…
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.…
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…
Signaling in Posted Price Auctions
Matteo Castiglioni, Giulia Romano, Alberto Marchesi +1
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 state of…
Safe Online Bid Optimization with Return on Investment and Budget Constraints
Matteo Castiglioni, Alessandro Nuara, Giulia Romano +3
In online marketing, the advertisers aim to balance achieving high volumes and high profitability. The companies' business units address this tradeoff by maximizing the volumes whi…
Online Posted Pricing with Unknown Time-Discounted Valuations
Giulia Romano, Gianluca Tartaglia, Alberto Marchesi +1
We study the problem of designing posted-price mechanisms in order to sell a single unit of a single item within a finite period of time. Motivated by real-world problems, such as,…