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cs.LG2024
An Axiomatic Approach to Loss Aggregation and an Adapted Aggregating Algorithm
Armando J. Cabrera Pacheco, Rabanus Derr, Robert C. Williamson
Supervised learning has gone beyond the expected risk minimization framework. Central to most of these developments is the introduction of more general aggregation functions for lo…
cs.LG2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization
Rabanus Derr, Robert C. Williamson
Fair Machine Learning endeavors to prevent unfairness arising in the context of machine learning applications embedded in society. Despite the variety of definitions of fairness an…