12 citations · 26 across the 13 of their papers we have counts for
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cs.LG2021
On the impossibility of non-trivial accuracy under fairness constraints
Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida +1
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. prop…
cs.LO2021
A Multi-Agent Model for Polarization under Confirmation Bias in Social Networks
Mário S. Alvim, Bernardo Amorim, Sophia Knight +2
We describe a model for polarization in multi-agent systems based on Esteban and Ray's standard measure of polarization from economics. Agents evolve by updating their beliefs (opi…