A convex-hull-based relaxation plus coordinate descent and exact mixed-integer formulations let fair regression models be trained much faster, with accuracy-fairness trade-offs competitive against a state-of-the-art reduction method.
Spectral algorithms for computing fair support vector machines
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Fair and Accurate Regression: Strong Formulations and Algorithms
A convex-hull-based relaxation plus coordinate descent and exact mixed-integer formulations let fair regression models be trained much faster, with accuracy-fairness trade-offs competitive against a state-of-the-art reduction method.