2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
Léandre Eberhard, Nirek Sharma, Filipp Shelobolin +1
As machine learning increasingly influences critical domains such as credit underwriting, public policy, and talent acquisition, ensuring compliance with fairness constraints is bo…
cs.LG2021★ 2 cited
Unified Shapley Framework to Explain Prediction Drift
Aalok Shanbhag, Avijit Ghosh, Josh Rubin
Predictions are the currency of a machine learning model, and to understand the model's behavior over segments of a dataset, or over time, is an important problem in machine learni…