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Causal Discovery Under Local Privacy
It is based on the application of controlled noise at the interface between the server that stores and processes the data, and the data consumers.
Causal Discovery for Fairness
Existing causal approaches to fairness in the literature do not address this problem and assume that the causal model is available.
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.
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