Nov 29, 2022 · Title:Learning Antidote Data to Individual Unfairness ... Abstract:Fairness is essential for machine learning systems deployed in high-stake ...

Learning Antidote Data to Individual Unfairness nate difference in payment ... Learning Antidote Data to Individual Unfairness. Table 1. Experimental ...

Feb 1, 2023 · The paper proposes a method to learn and generate "antidote data", which are comparable samples, to resist individual unfairness at minimal cost ...

Through extensive experiments on mul- tiple tabular datasets, we demonstrate our method resists individual unfairness at a minimal or zero cost to predictive ...

Jul 23, 2023 · Through extensive experiments on multiple tabular datasets, we demonstrate our method resists individual unfairness at a minimal or zero cost to ...

LEARNING ANTIDOTE DATA TO INDIVIDUAL UNFAIR-. NESS. Anonymous authors ... 3 LEARNING ANTIDOTE DATA TO INDIVIDUAL UNFAIRNESS. Motivation Several methods ...

Individual Unfairness · Distributionally Robust Optimization · Antidote Data · Fairness · Individual Fairness · Tabular Dataset · Sensitive Attributes · Adversarial ...

In this paper we instantiate the framework by proposing met- rics that capture the polarization and unfairness of the system's recommendations. These metrics ...

Learning Antidote Data to Individual Unfairness ... Fairness is essential for machine learning systems deployed in high-stake applications. ... Cannot find the ...

Learning Antidote Data to Individual Unfairness. P Li, E Xia, H Liu. International Conference on Machine Learning, 20168-20181, 2023. 11, 2023. Model-free ...