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20132024
most citedPreventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

381 citations · 1.4k across the 100 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.GT2016

Logarithmic Query Complexity for Approximate Nash Computation in Large Games

Paul W. Goldberg, Francisco J. Marmolejo-Cossío, Zhiwei Steven Wu

We investigate the problem of equilibrium computation for "large" -player games. Large games have a Lipschitz-type property that no single player's utility is greatly affected b…

cs.DS2016

Multidimensional Dynamic Pricing for Welfare Maximization

Aaron Roth, Aleksandrs Slivkins, Jonathan Ullman +1

We study the problem of a seller dynamically pricing distinct types of indivisible goods, when faced with the online arrival of unit-demand buyers drawn independently from an u…

cs.DS2016

Predicting with Distributions

Michael Kearns, Zhiwei Steven Wu

We consider a new learning model in which a joint distribution over vector pairs is determined by an unknown function that maps input vectors not to individual o…

cs.DS2016★ 4 cited

Adaptive Learning with Robust Generalization Guarantees

Rachel Cummings, Katrina Ligett, Kobbi Nissim +2

The traditional notion of generalization---i.e., learning a hypothesis whose empirical error is close to its true error---is surprisingly brittle. As has recently been noted in [DF…

cs.GT2016★ 9 cited

Bayesian Exploration: Incentivizing Exploration in Bayesian Games

Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis +1

We consider a ubiquitous scenario in the Internet economy when individual decision-makers (henceforth, agents) both produce and consume information as they make strategic choices i…