Journal Club: Proximal Algorithms


Details
This Journal Club we'll be looking at Proximal Algorithms!
Proximal algorithms generalize the concept of the orthogonal projection of a point onto a set C. They can be especially useful when dealing with a complicated-looking optimization scheme (which often arise from machine learning and signal processing problems), where they help decompose the complicated scheme into a sequence of much simpler optimization steps which, when updated in an iterative fashion, provide a solution to the original problem.
We'll be basing our discussion and review on the tutorial paper by Boyd below:
http://www.stanford.edu/~boyd/papers/pdf/prox_algs.pdf
You can find commented code for many of the examples in the paper on the authors' website:


Journal Club: Proximal Algorithms