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A2.F — Linearly Representable Submodular Functions: An Algebraic Algorithm for Minimization
Saarland Informatics Campus
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Lecture 11, Submodular Functions, Optimization, & Applications to Machine Learning
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Simons Institute for the Theory of Computing
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Lecture 8, Submodular Functions, Optimization, & Applications to Machine Learning
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Lecture 18, Submodular Functions, Optimization, & Applications to Machine Learning
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Lecture 10, Submodular Functions, Optimization, & Applications to Machine Learning
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Lecture 16, Submodular Functions, Optimization, & Applications to Machine Learning
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Lecture 13, Submodular Functions, Optimization, & Applications to Machine Learning
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Hausdorff Center for Mathematics
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Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning
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Analyzing Alternating Minimization Algorithms Using Algebraic Methods
Simons Institute for the Theory of Computing
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Hausdorff Center for Mathematics
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EE596B Lecture 2, Submodular Functions, Optimization, and Applications to Machine Learning
Jeffrey A. Bilmes
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