Reviews: Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
–Neural Information Processing Systems
Originality: -Although the Hardt paper has suggested the use of this approach, the paper claims that it's the first to actually show this is indeed possible. Quality: -The assumptions made about the model are very well justified. The discussion after each assumption provided the context as to why the assumption makes sense and why the assumption is needed to study their model. These discussion as a result provided very good intuition and set up the stage for the proof. Clarity: -Overall, the paper have a very smooth flow, whether it be discussion of their assumptions or their remarks.
consistent fair binary classification, leveraging labeled and unlabeled data, regression function and base rate, (5 more...)
Neural Information Processing Systems
Jan-26-2025, 17:03:44 GMT
- Technology: