145 citations · 564 across the 20 of their papers we have counts for
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cs.NE2023★ 8 cited
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models
William G. La Cava
Improving the fairness of machine learning models is a nuanced task that requires decision makers to reason about multiple, conflicting criteria. The majority of fair machine learn…
cs.LG2023★ 9 cited
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
F. O. de Franca, M. Virgolin, M. Kommenda +21
Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main attraction of this approach is that it returns an interpretable model tha…