Davide Anguita

Fair backward compatibility: definitions, theoretical framework, and empirical results

Machine learning systems often require updates for various reasons, ranging from the availability of new data or models to the necessity of meeting new or revised technical and ethical metrics. Typically, such metrics capture average performance rather than sample-wise behavior....