Minimizing a Submodular Function from Samples

Eric Balkanski, Yaron Singer

Neural Information Processing Systems 

Submodular functions can be efficiently minimized and are consequently heavily applied in machine learning. There are many cases, however, in which we do not know the function we aim to optimize, but rather have access to training data that is used to learn it.

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