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cs.CR2026
Fast and Private Max-Sum Diversification
Ron Zadicario, Tova Milo
Result diversification is crucial for generating informative, non-redundant data summaries and query outputs. Although its various formulations have been extensively studied across…
cs.DS2026
Differentially Private Submodular Maximization with a Knapsack Constraint
Ron Zadicario, Tova Milo
Submodular maximization subject to a knapsack constraint (SMK) is a fundamental problem in discrete optimization, with wide-ranging applications in machine learning and related fie…