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

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Author :
Publisher : Now Publishers Inc
Total Pages : 138
Release :
ISBN-10 : 9781601984609
ISBN-13 : 160198460X
Rating : 4/5 (60X Downloads)

Book Synopsis Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers by : Stephen Boyd

Download or read book Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers written by Stephen Boyd and published by Now Publishers Inc. This book was released on 2011 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.


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

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Language: en
Pages: 138
Authors: Stephen Boyd
Categories: Computers
Type: BOOK - Published: 2011 - Publisher: Now Publishers Inc

DOWNLOAD EBOOK

Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine l
Proximal Algorithms
Language: en
Pages: 130
Authors: Neal Parikh
Categories: Mathematics
Type: BOOK - Published: 2013-11 - Publisher: Now Pub

DOWNLOAD EBOOK

Proximal Algorithms discusses proximal operators and proximal algorithms, and illustrates their applicability to standard and distributed convex optimization in
Machine Learning for Asset Management
Language: en
Pages: 460
Authors: Emmanuel Jurczenko
Categories: Business & Economics
Type: BOOK - Published: 2020-10-06 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learnin
Introduction to Statistical Machine Learning
Language: en
Pages: 535
Authors: Masashi Sugiyama
Categories: Mathematics
Type: BOOK - Published: 2015-10-31 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined
Stochastic Hybrid Systems
Language: en
Pages: 301
Authors: Christos G. Cassandras
Categories: Technology & Engineering
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

DOWNLOAD EBOOK

Because they incorporate both time- and event-driven dynamics, stochastic hybrid systems (SHS) have become ubiquitous in a variety of fields, from mathematical