4 citations · 11 across the 19 of their papers we have counts for
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cs.LG2019★ 4 cited
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers
Ananth Balashankar, Alyssa Lees, Chris Welty +1
The potential for learned models to amplify existing societal biases has been broadly recognized. Fairness-aware classifier constraints, which apply equality metrics of performance…
cs.LG2019★ 1 cited
Fairness Sample Complexity and the Case for Human Intervention
Ananth Balashankar, Alyssa Lees
With the aim of building machine learning systems that incorporate standards of fairness and accountability, we explore explicit subgroup sample complexity bounds. The work is moti…