Recourse under model multiplicity via argumentative ensembling
Model Multiplicity (MM) arises when multiple, equally performing machine learning models
can be trained to solve the same prediction task. Recent studies show that models obtained …
can be trained to solve the same prediction task. Recent studies show that models obtained …
[PDF][PDF] Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report).
Abstract Model Multiplicity (MM) arises when multiple, equally performing machine learning
models can be trained to solve the same prediction task. Recent studies show that models …
models can be trained to solve the same prediction task. Recent studies show that models …