2015
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets
ICML 2015poster
A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, can be cast as constrained submodular maximization problems. Unfortunately, the resulting submodular optimization problems are often too large to be solved on a single machine…