Parameter Learning for Log-supermodular Distributions

NeurIPS 2016 Tatiana ShpakovaFrancis Bach

We consider log-supermodular models on binary variables, which are probabilistic models with negative log-densities which are submodular. These models provide probabilistic interpretations of common combinatorial optimization tasks such as image segmentation... (read more)

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