PPT-Submodularity
Author : stefany-barnette | Published Date : 2016-12-01
Reading Group Matroid Polytopes Polymatroid M Pawan Kumar http wwwrobotsoxacuk oval Linear Programming Matroid Polytopes Polymatroid Outline Polyhedron A x
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Submodularity: Transcript
Reading Group Matroid Polytopes Polymatroid M Pawan Kumar http wwwrobotsoxacuk oval Linear Programming Matroid Polytopes Polymatroid Outline Polyhedron A x . Submodular. Functions. Grigory. . Yaroslavtsev. Columbia University. October 26, 2012. With . Sofya. . Raskhodnikova. (SODA’13). + Work in progress with Rocco . Servedio. Submodularity. Discrete analog of convexity/concavity, law . Reading Group. Submodular. Function Minimization. via Linear Programming. M. Pawan Kumar. http://. www.robots.ox.ac.uk. /~oval/. Separation and Optimization. Submodular. Function Minimization. Outline. Dictionary Selection. for Sparse Representation. Volkan . Cevher. volkan.cevher@epfl.ch. Laboratory. for Information . . and Inference Systems - . LIONS. & . Idiap. Research Institute. . Joint work with . Matroids. , . Submodular. Functions . M. Pawan Kumar. http://. www.robots.ox.ac.uk. /~oval/. Submodularity. Reading Group. Until 1980s. Matroids. , . Submodularity. , . Polymatroids. Submodular. Function Minimization is “Easy”.
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