1 citations · 1 across the 4 of their papers we have counts for
5 papers
Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising
Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi +2
We study the problem of an online advertising system that wants to optimally spend an advertiser's given budget for a campaign across multiple platforms, without knowing the value…
Equilibria in Auctions With Ad Types
Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan +1
This paper studies equilibrium quality of semi-separable position auctions (known as the Ad Types setting) with greedy or optimal allocation combined with generalized second-price…
Envy, Regret, and Social Welfare Loss
Riccardo Colini-Baldeschi, Stefano Leonardi, Okke Schrijvers +1
Incentive compatibility (IC) is one of the most fundamental properties of an auction mechanism, including those used for online advertising. Recent methods by Feng et al. and Lahai…
The Ad Types Problem
Riccardo Colini-Baldeschi, Julián Mestre, Okke Schrijvers +1
The Ad Types Problem (without gap rules) is a special case of the assignment problem in which there are types of nodes on one side (the ads), and an ordered set of nodes on the…
Online Learning for Measuring Incentive Compatibility in Ad Auctions
Zhe Feng, Okke Schrijvers, Eric Sodomka
In this paper we investigate the problem of measuring end-to-end Incentive Compatibility (IC) regret given black-box access to an auction mechanism. Our goal is to 1) compute an es…