Statistical Guarantees for Fairness Aware Plug-In Algorithms

no code implementations • 27 Jul 2021 • Drona Khurana, Srinivasan Ravichandran, Sparsh Jain, Narayanan Unny Edakunni

A plug-in algorithm to estimate Bayes Optimal Classifiers for fairness-aware binary classification has been proposed in (Menon & Williamson, 2018).

Binary Classification Fairness

Accurate and Intuitive Contextual Explanations using Linear Model Trees

no code implementations • 11 Sep 2020 • Aditya Lahiri, Narayanan Unny Edakunni

We use a Generative Adversarial Network for synthetic data generation and train a piecewise linear model in the form of Linear Model Trees to be used as the surrogate model. In addition to individual feature attributions, we also provide an accompanying context to our explanations by leveraging the structure and property of our surrogate model.

Generative Adversarial Network Marketing +1

FairXGBoost: Fairness-aware Classification in XGBoost

no code implementations • 3 Sep 2020 • Srinivasan Ravichandran, Drona Khurana, Bharath Venkatesh, Narayanan Unny Edakunni

Highly regulated domains such as finance have long favoured the use of machine learning algorithms that are scalable, transparent, robust and yield better performance.

Classification Fairness +1