Decomposable submodular function minimization: discrete and continuous

Ene, Alina; Nguyen, Huy; and Végh, László A.ORCID logo (2017) Decomposable submodular function minimization: discrete and continuous. In: Advances in Neural Information Processing Systems 30 (NIPS 2017) pre-proceedings. Neural Information Processing Systems Foundation, Long Beach, USA.
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This paper investigates connections between discrete and continuous approaches for decomposable submodular function minimization. We provide improved running time estimates for the state-of-the-art continuous algorithms for the problem using combinatorial arguments. We also provide a systematic experimental comparison of the two types of methods, based on a clear distinction between level-0 and level-1 algorithms

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