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On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood
We provide an efficient unified plug-in approach for estimating symmetric properties of distributions given $n$ independent samples.
Fair for All: Best-effort Fairness Guarantees for Classification
Instead, we propose a fairness notion whose guarantee, on each group $g$ in a class $\mathcal{G}$, is relative to the performance of the best classifier on $g$.
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