EECS 598-006 Lecture Notes
(No guarantee that they represent exactly what was covered in lecture.)
00. Introduction
01. Applications 1
02. Applications 2
03. Gradient-based methods
04. Majorize-minimize (MM) methods
05. Proximal methods
06. Alternating minimization
07. Duality / AL / ADMM
08. Stochastic gradient / subgradient methods
09. Misc. / Review
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