Optimizing Optimization: Scalable Convex Programming with Proximal Operators
Convex optimization has developed a wide variety of useful tools critical to many applications in machine learning. However, unlike linear and quadratic programming, general convex solvers have not yet reached sufficient maturity to fully decouple the convex programming model from the numerical algo...
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| Format: | Others |
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Research Showcase @ CMU
2016
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| Online Access: | http://repository.cmu.edu/dissertations/785 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1824&context=dissertations |