1:41:00
EE596B Lecture 6, Submodular Functions, Optimization, & Applications to Machine Learning
Jeffrey A. Bilmes
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1:38:58
Submodularity - Stefanie Jegelka - MLSS 2017
Max Planck Institute for Intelligent Systems
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1:35:36
EE596B Lecture 7, Submodular Functions, Optimization, & Applications to Machine Learning
Jeffrey A. Bilmes
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1:50:13
EE596B Lecture 5, Submodular Functions, Optimization, and Applications to Machine Learning
Jeffrey A. Bilmes
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1:34:20
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
Jeffrey A. Bilmes
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1:00:40
Stefanie Jegelka: An introduction to Submodularity, Part 1
Wireless Networking and Communications Group
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1:37:01
EE596B Lecture 3, Submodular Functions, Optimization, and Applications to Machine Learning
Jeffrey A. Bilmes
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Stefanie Jegelka: An introduction to submodularity, Part 2
Wireless Networking and Communications Group
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1:44:29
EE596B Lecture 2, Submodular Functions, Optimization, and Applications to Machine Learning
Jeffrey A. Bilmes
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1:04:01
Submodularity: Theory and Applications I
Simons Institute for the Theory of Computing
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