Jingran Yang

A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning

Machine learning fairness research documents trade-offs but lacks quantitative frameworks to measure intrinsic metric compatibility without requiring causal graphs. We introduce a game-theoretic framework that decomposes metrics into interaction vectors, enabling compatibility measurement between me…