Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers by Neal Parikh, Eric Chu, Stephen Boyd

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Foundations and Trends(r) in Machine Learning

Neal Parikh, Eric Chu, Stephen Boyd

140 pages • missing pub info (editions)

nonfiction computer science mathematics
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Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be able to solve problems wit...

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