🏢 UC San Francisco
A hierarchical decomposition for explaining ML performance discrepancies
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AI Applications
Healthcare
🏢 UC San Francisco
New nonparametric framework explains ML performance gaps across domains by hierarchically decomposing discrepancies due to covariate and conditional outcome shifts, offering detailed variable-level at…