20 citations · 29 across the 4 of their papers we have counts for
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cs.LG2020★ 2 cited
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf, Max Simchowitz, Sarah Dean +4
While real-world decisions involve many competing objectives, algorithmic decisions are often evaluated with a single objective function. In this paper, we study algorithmic polici…
econ.GN2020★ 20 cited
The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda
Daniel Björkegren, Burak Ceyhun Karaca
Governments spend billions of dollars subsidizing the adoption of different goods. However, it is difficult to gauge whether those goods are resold, or are valued by their ultimate…