activity
20172021
most citedMoment Multicalibration for Uncertainty Estimation

12 citations · 14 across the 3 of their papers we have counts for

collaborators

8 papers

cs.GT20212 cited

Best vs. All: Equity and Accuracy of Standardized Test Score Reporting

Sampath Kannan, Mingzi Niu, Aaron Roth +1

We study a game theoretic model of standardized testing for college admissions. Students are of two types; High and Low. There is a college that would like to admit the High type s…

econ.TH2020

Constrained Trading Networks

Can Kizilkale, Rakesh Vohra

Trades based on bilateral (indivisible) contracts can be represented by a network. Vertices correspond to agents while arcs represent the non-price elements of a bilateral contract…

cs.LG202012 cited

Moment Multicalibration for Uncertainty Estimation

Christopher Jung, Changhwa Lee, Mallesh M. Pai +2

We show how to achieve the notion of "multicalibration" from Hébert-Johnson et al. [2018] not just for means, but also for variances and other higher moments. Informally, it means…

econ.TH2020

Fair Prediction with Endogenous Behavior

Christopher Jung, Sampath Kannan, Changhwa Lee +3

There is increasing regulatory interest in whether machine learning algorithms deployed in consequential domains (e.g. in criminal justice) treat different demographic groups "fair…

cs.CY2019

Algorithmic and Economic Perspectives on Fairness

David C. Parkes, Rakesh V. Vohra, other workshop participants

Algorithmic systems have been used to inform consequential decisions for at least a century. Recidivism prediction dates back to the 1920s. Automated credit scoring dates began in…

cs.GT2019

Strategic Formation and Reliability of Supply Chain Networks

Victor Amelkin, Rakesh Vohra

Supply chains are the backbone of the global economy. Disruptions to them can be costly. Centrally managed supply chains invest in ensuring their resilience. Decentralized supply c…