Nov11Overview

Nov11Overview - Friday,November12,2010

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Friday, November 12, 2010 DISTRIBUTED OPTIMIZATION AND STATISTICAL LEARNING VIA THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS Stephen Boyd, Neal Parikh, Eric Chu, and Borja Peleato 11:30 AM to 12:30 PM Thomas 206 CODE GENERATION FOR EMBEDDED CONVEX OPTIMIZATION Jacob Mattingley and Stephen Boyd :00 PM to 3:45 PM 3:00 PM to 3:45 PM 105 Annenberg PERFORMANCE BOUNDS AND SUBOPTIMAL POLICIES FOR LINEAR STOCHASTIC CONTROL Yang Wang and Stephen Boyd :45 PM to 4:30 PM 3:45 PM to 4:30 PM 105 Annenberg
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DISTRIBUTED OPTIMIZATION AND STATISTICAL LEARNING VIA THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS Stephen Boyd, Neal Parikh, Eric Chu, and Borja Peleato Friday, November 12, 2010 11:30 AM to 12:30 PM Thomas 206 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 s increasingly important to be able to solve problems with a very is increasingly important to be able to solve problems with a very large number of features, training examples, or both. Decentralized collection or storage of these datasets as well as
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This note was uploaded on 01/04/2012 for the course CDS 212 taught by Professor Tarraf,d during the Fall '08 term at Caltech.

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Nov11Overview - Friday,November12,2010

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