Fnnc: Achieving fairness through neural networks

P Manisha, S Gujar - arXiv preprint arXiv:1811.00247, 2018 - arxiv.org
In classification models fairness can be ensured by solving a constrained optimization
problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and …
被引用次数：7 相关文章

FNNC: Achieving Fairness through Neural Networks

P Manisha, S Gujar - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
In classification models fairness can be ensured by solving a constrained optimization
problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and …
[PDF] academia.edu

[PDF][PDF] FNNC: Achieving Fairness through Neural Networks

P Manisha, S Gujar - academia.edu
In classification models fairness can be ensured by solving a constrained optimization
problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and …
[PDF] academia.edu

[PDF][PDF] FNNC: Achieving Fairness through Neural Networks

P Manisha, S Gujar - academia.edu
In classification models fairness can be ensured by solving a constrained optimization
problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and …