603 citations · 608 across the 4 of their papers we have counts for
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stat.AP2018★ 603 cited
Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions
Shira Mitchell, Eric Potash, Solon Barocas +2
A recent flurry of research activity has attempted to quantitatively define "fairness" for decisions based on statistical and machine learning (ML) predictions. The rapid growth of…
stat.AP2017★ 2 cited
Randomization Bias in Field Trials to Evaluate Targeting Methods
Eric Potash
This paper studies the evaluation of methods for targeting the allocation of limited resources to a high-risk subpopulation. We consider a randomized controlled trial to measure th…
stat.AP2017
Applying Machine Learning Methods to Enhance the Distribution of Social Services in Mexico
Kris Sankaran, Diego Garcia-Olano, Mobin Javed +7
The Government of Mexico's social development agency, SEDESOL, is responsible for the administration of social services and has the mission of lifting Mexican families out of pover…