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Found 4 papers, 1 papers with code
The Impact of Differential Feature Under-reporting on Algorithmic Fairness
Predictive risk models in the public sector are commonly developed using administrative data that is more complete for subpopulations that more greatly rely on public services.
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
This stylized setup offers the distinct capability of testing fairness interventions beyond observational data and against an unbiased benchmark.
The effect of differential victim crime reporting on predictive policing systems
Our analysis is based on a simulation patterned after district-level victimization and crime reporting survey data for Bogot\'a, Colombia.
Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems
As our primary contribution, this is the first work that upper bounds the sample complexity for learning real-valued RNNs.
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