FAIR: Fair Adversarial Instance Re-weighting

no code implementations • 15 Nov 2020 • Andrija Petrović, Mladen Nikolić, Sandro Radovanović, Boris Delibašić, Miloš Jovanović

In this paper we propose a Fair Adversarial Instance Re-weighting (FAIR) method, which uses adversarial training to learn instance weighting function that ensures fair predictions.

Fairness

Gaussian Conditional Random Fields for Classification

no code implementations • 31 Jan 2019 • Andrija Petrović, Mladen Nikolić, Miloš Jovanović, Boris Delibašić

The extended method of local variational approximation of sigmoid function is used for solving empirical Bayes in Bayesian GCRFBCb variant, whereas MAP value of latent variables is the basis for learning and inference in the GCRFBCnb variant.

Binary Classification Classification +1