OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning

no code implementations • 13 Mar 2021 • Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe

Existing techniques for producing fair ML models either are limited to the type of fairness constraints they can handle (e. g., preprocessing) or require nontrivial modifications to downstream ML training algorithms (e. g., in-processing).

BIG-bench Machine Learning Fairness