English

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.

Keywords

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}
}