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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
High-Dimensional Distribution Generation Through Deep Neural Networks
Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei
We show that every -dimensional probability distribution of bounded support can be generated through deep ReLU networks out of a -dimensional uniform input distribution. What…