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Preferential compression risk bounds can achieve the optimal $O(1/\sqrt{N})$ convergence rate, shedding the previously unavoidable logarithmic factor.
Naively applying standard robustness techniques to multi-criteria decision making yields overly conservative results; this paper offers a tighter analysis that unlocks more practical solutions.