11 citations · 13 across the 4 of their papers we have counts for
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stat.ML2021
Fair Active Learning: Solving the Labeling Problem in Insurance
Romuald Elie, Caroline Hillairet, François Hu +1
This paper addresses significant obstacles that arise from the widespread use of machine learning models in the insurance industry, with a specific focus on promoting fairness. The…
math.ST2021★ 11 cited
Fairness guarantee in multi-class classification
Christophe Denis, Romuald Elie, Mohamed Hebiri +1
Algorithmic Fairness is an established area of machine learning, willing to reduce the influence of hidden bias in the data. Yet, despite its wide range of applications, very few w…