Submodular Function Minimization and Polarity
Optimization and Control
2020-12-09 v3 Machine Learning
Abstract
Using polarity, we give an outer polyhedral approximation for the epigraph of set functions. For a submodular function, we prove that the corresponding polar relaxation is exact; hence, it is equivalent to the Lov\'asz extension. The polar approach provides an alternative proof for the convex hull description of the epigraph of a submodular function. Computational experiments show that the inequalities from outer approximations can be effective as cutting planes for solving submodular as well as non-submodular set function minimization problems.
Cite
@article{arxiv.1912.13238,
title = {Submodular Function Minimization and Polarity},
author = {Alper Atamturk and Vishnu Narayanan},
journal= {arXiv preprint arXiv:1912.13238},
year = {2020}
}