16 citations · 77 across the 28 of their papers we have counts for
3 papers · 1 filter
A New Framework for Distributed Submodular Maximization
Rafael da Ponte Barbosa, Alina Ene, Huy L. Nguyen +1
A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, can be cast as constrained submodular maximization prob…
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
Alina Ene, Huy L. Nguyen
Submodular function minimization is a fundamental optimization problem that arises in several applications in machine learning and computer vision. The problem is known to be solva…
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets
Rafael da Ponte Barbosa, Alina Ene, Huy L. Nguyen +1
A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, can be cast as constrained submodular maximization prob…