603 citations · 608 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Euclidean Embeddings and Riemannian Bergman Metrics
Eric Potash
Consider the sum of the first eigenspaces for the Laplacian on a Riemannian manifold. A basis for this space determines a map to Euclidean space and for sufficiently large…