Maximizing submodular functions using probabilistic graphical models

10 Sep 2013K. S. Sesh KumarFrancis Bach

We consider the problem of maximizing submodular functions; while this problem is known to be NP-hard, several numerically efficient local search techniques with approximation guarantees are available. In this paper, we propose a novel convex relaxation which is based on the relationship between submodular functions, entropies and probabilistic graphical models... (read more)

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