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cs.LG2024
Practical -Approximation for Submodular Maximization Subject to a Cardinality Constraint
Murad Tukan, Loay Mualem, Moran Feldman
Non-monotone constrained submodular maximization plays a crucial role in various machine learning applications. However, existing algorithms often struggle with a trade-off between…
cs.LG2024
Bridging the Gap Between General and Down-Closed Convex Sets in Submodular Maximization
Loay Mualem, Murad Tukan, Moran Fledman
Optimization of DR-submodular functions has experienced a notable surge in significance in recent times, marking a pivotal development within the domain of non-convex optimization.…