52 citations · 166 across the 28 of their papers we have counts for
6 papers · 1 filter
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…
Algorithmic Price Discrimination
Rachel Cummings, Nikhil R. Devanur, Zhiyi Huang +1
We consider a generalization of the third degree price discrimination problem studied in Bergemann et al. (2015), where an intermediary between the buyer and the seller can design…
The Possibilities and Limitations of Private Prediction Markets
Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan
We consider the design of private prediction markets, financial markets designed to elicit predictions about uncertain events without revealing too much information about market pa…
The Strange Case of Privacy in Equilibrium Models
Rachel Cummings, Katrina Ligett, Mallesh M. Pai +1
We study how privacy technologies affect user and advertiser behavior in a simple economic model of targeted advertising. In our model, a consumer first decides whether or not to b…
Truthful Linear Regression
Rachel Cummings, Stratis Ioannidis, Katrina Ligett
We consider the problem of fitting a linear model to data held by individuals who are concerned about their privacy. Incentivizing most players to truthfully report their data to t…
The Empirical Implications of Privacy-Aware Choice
Rachel Cummings, Federico Echenique, Adam Wierman
This paper initiates the study of the testable implications of choice data in settings where agents have privacy preferences. We adapt the standard conceptualization of consumer ch…