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On the impossibility of non-trivial accuracy under fairness constraints
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.
Polarization and Belief Convergence of Agents in Strongly-Connected Influence Graphs
We describe a model for polarization in multi-agent systems based on Esteban and Ray's classic measure of polarization from economics.
Multiagent Systems
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