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Philip Lazos

2 accepted papers

2021

Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity

ICML 2021spotlight

The growing need to deal with massive instances motivates the design of algorithms balancing the quality of the solution with applicability. For the latter, an important measure is the \emph{adaptive complexity}, capturing the number of sequential rounds of parallel computation needed. In this work…

Cited by 18SourcePDFScholar
2020

Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint

NeurIPS 2020poster

Constrained submodular maximization problems encompass a wide variety of applications, including personalized recommendation, team formation, and revenue maximization via viral marketing. The massive instances occurring in modern-day applications can render existing algorithms prohibitively slow. Mo…

Cited by 56SourcePDFScholar