33:22Optimization in Machine Learning (Lecture 10): Difference of Submodular Opt, SCSC & SCSK
A 33-minute video from Rishabh: “Optimization in Machine Learning (Lecture 10): Difference of Submodular Opt, SCSC & SCSK”.
Rishabh
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33:22
2:02:25Optimization in Machine Learning (Lecture 11): Applications
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1:32:32Optimization in Machine Learning (Lecture 7 Continued): Submodular Information Measures
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2:23:36Optimization in Machine Learning (Lecture 8): Polyhedra, Extensions, and Submodular Minimization
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1:46:43Optimization in Machine Learning (Lecture 9):Submodular Maximization and Greedy
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2:30:28Optimization in Machine Learning: Lec 4 (Conditional GD and Projected GD, Quasi-Newton, BFGS etc.)
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2:30:36Optimization in Machine Learning: Lec 7 (Submodular Functions: Definitions, Examples, Properties)
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2:54:50Optimization in Machine Learning: Lecture 2 (Convex Functions Cont, Analysis of Gradient Descent)
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2:34:35Optimization in Machine Learning: Lecture 5 (Second Order Methods and Coordinate Descent)
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1:22:55Optimization in Machine Learning: Lecture 6.2 (SGD for Deep Learning)
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