381 citations · 2.3k across the 89 of their papers we have counts for
4 papers · 2 filters
Efficiently Learning from Revealed Preference
Morteza Zadimoghaddam, Aaron Roth
In this paper, we consider the revealed preferences problem from a learning perspective. Every day, a price vector and a budget is drawn from an unknown distribution, and a rationa…
Mechanism Design in Large Games: Incentives and Privacy
Michael Kearns, Mallesh M. Pai, Aaron Roth +1
We study the problem of implementing equilibria of complete information games in settings of incomplete information, and address this problem using "recommender mechanisms." A reco…
Conducting Truthful Surveys, Cheaply
Aaron Roth, Grant Schoenebeck
We consider the problem of conducting a survey with the goal of obtaining an unbiased estimator of some population statistic when individuals have unknown costs (drawn from a known…
Take it or Leave it: Running a Survey when Privacy Comes at a Cost
Katrina Ligett, Aaron Roth
In this paper, we consider the problem of estimating a potentially sensitive (individually stigmatizing) statistic on a population. In our model, individuals are concerned about th…