lemma 3
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Random Cuts are Optimal for Explainable k-Medians Konstantin Makarychev Northwestern University Liren Shan
The algorithm's aim is to cluster data sets and present results in a manner easily understood
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Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
Lipschitzness, which we make precise in Section 2 and in Assumption 3.1.
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