560 citations · 2.1k across the 38 of their papers we have counts for
3 papers · 1 filter
Privacy and Truthful Equilibrium Selection for Aggregative Games
Rachel Cummings, Michael Kearns, Aaron Roth +1
We study a very general class of games --- multi-dimensional aggregative games --- which in particular generalize both anonymous games and weighted congestion games. For any such g…
Online Learning and Profit Maximization from Revealed Preferences
Kareem Amin, Rachel Cummings, Lili Dworkin +2
We consider the problem of learning from revealed preferences in an online setting. In our framework, each period a consumer buys an optimal bundle of goods from a merchant accordi…
A Computational Study of Feasible Repackings in the FCC Incentive Auctions
Michael Kearns, Lili Dworkin
We report the results of a computational study of repacking in the FCC Incentive Auctions. Our interest lies in the structure and constraints of the solution space of feasible repa…