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20232025
most citedFrom the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment

9 citations · 10 across the 3 of their papers we have counts for

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cs.LG2025

The Benchmarking Epistemology: Construct Validity for Evaluating Machine Learning Models

Timo Freiesleben, Sebastian Zezulka

Predictive benchmarking, the evaluation of machine learning models based on predictive performance and competitive ranking, is a central epistemic practice in machine learning rese…