3 citations · 6 across the 4 of their papers we have counts for
7 papers
Optimal Data Acquisition with Privacy-Aware Agents
Rachel Cummings, Hadi Elzayn, Vasilis Gkatzelis +2
We study the problem faced by a data analyst or platform that wishes to collect private data from privacy-aware agents. To incentivize participation, in exchange for this data, the…
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…
Algorithms and Learning for Fair Portfolio Design
Emily Diana, Travis Dick, Hadi Elzayn +5
We consider a variation on the classical finance problem of optimal portfolio design. In our setting, a large population of consumers is drawn from some distribution over risk tole…
Differentially Private Call Auctions and Market Impact
Emily Diana, Hadi Elzayn, Michael Kearns +3
We propose and analyze differentially private (DP) mechanisms for call auctions as an alternative to the complex and ad-hoc privacy efforts that are common in modern electronic mar…
Equilibrium Characterization for Data Acquisition Games
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari +2
We study a game between two firms in which each provide a service based on machine learning. The firms are presented with the opportunity to purchase a new corpus of data, which wi…
Price of Privacy in the Keynesian Beauty Contest
Hadi Elzayn, Zachary Schutzman
The Keynesian Beauty Contest is a classical game in which strategic agents seek to both accurately guess the true state of the world as well as the average action of all agents. We…
Fair Algorithms for Learning in Allocation Problems
Hadi Elzayn, Shahin Jabbari, Christopher Jung +4
Settings such as lending and policing can be modeled by a centralized agent allocating a resource (loans or police officers) amongst several groups, in order to maximize some objec…