2 papers
cs.LG2026
Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions
Owen O'Neill, Fintan Costello
ML classifiers deployed in high-stakes domains produce predictions whose quality varies systematically across subgroups. For granular subgroups defined by intersections of multiple…
cs.LG2023
Systematic Bias in Sample Inference and its Effect on Machine Learning
Owen O'Neill, Fintan Costello
A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model's predicted target rate for members of a given category typically…