no code implementations • 1 Jun 2022 • Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
Empirical evaluation on real-world datasets indicates that FETA is not only able to guarantee fairness on-the-fly at prediction time but also is able to train accurate models exhibiting a much higher degree of individual fairness.
no code implementations • AAAI Workshop CLeaR 2022 • Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
There is an increasing interest in adopting high-capacity machine learning models such as deep neural networks to semi-automate human decisions.
1 code implementation • NeurIPS 2020 • Aishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein, Guy Van Den Broeck
Additionally, we propose a technique to use monotonicity as an inductive bias for deep learning.