Jul 6, 2023 · We propose BaBE (Bayesian Bias Elimination), an approach based on a combination of Bayes inference and the Expectation-Maximization method.
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Jun 6, 2024 · ABSTRACT. We consider the problem of unfair discrimination between two groups and propose a pre-processing method to achieve fairness.
Jun 5, 2024 · We propose BaBE (Bayesian Bias Elimination), an approach based on a combination of Bayes inference and the Expectation-Maximization method.
To deal with this problem, we propose BaBE (Bayesian Bias Elimination), an approach based on a combination of Bayes inference and the Expectation-Maximization ...
Jul 6, 2023 · PDF | We consider the problem of unfair discrimination between two groups and propose a pre-processing method to achieve fairness.
We propose BaBE (Bayesian Bias Elimination), an approach based on a combination of Bayes inference and the Expectation-Maximization method.
BaBE (Bayesian Bias Elimination), an approach based on a combination of Bayes inference and the Expectation-Maximization method, to estimate the most likely ...
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May 6, 2024 · The BaBE method introduced in this paper offers a novel approach to enhancing fairness in machine learning by estimating latent explaining variables.
May 7, 2024 · Our paper Babe:Enhancing Fairness via Estimation of Explaining Variables is on its way to #ACMFAccT'24! It took quite a while to convince the reviewers!
BaBE: Enhancing Fairness via Estimation of Explaining Variables. R Binkyte, D Gorla, C Palamidessi. The 2024 ACM Conference on Fairness, Accountability, and ...