Search Results for author: Rakesh Pavan

Found 2 papers, 1 papers with code

A Stochastic Optimization Framework for Fair Risk Minimization

1 code implementation • NeurIPS 2021 • Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami

We consider the problem of fair classification with discrete sensitive attributes and potentially large models and data sets, requiring stochastic solvers.

Binary Classification Fairness +1

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Fair Empirical Risk Minimization via Exponential Rényi Mutual Information

no code implementations • 1 Jan 2021 • Rakesh Pavan, Andrew Lowy, Sina Baharlouei, Meisam Razaviyayn, Ahmad Beirami

In this paper, we propose another notion of fairness violation, called Exponential Rényi Mutual Information (ERMI) between sensitive attributes and the predicted target.

Attribute Fairness +1

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