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
Distributed Optimization: Advances in Theories, Methods, and Applications
Language: en
Pages: 257
Authors: Huaqing Li
Categories: Technology & Engineering
Type: BOOK - Published: 2020-08-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on th
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
Big Data
Language: en
Pages: 440
Authors: Hai Jin
Categories: Computers
Type: BOOK - Published: 2019-11-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019. The 30 full papers presented i
Parallel Algorithms in Computational Science and Engineering
Language: en
Pages: 421
Authors: Ananth Grama
Categories: Computers
Type: BOOK - Published: 2020-07-06 - Publisher: Springer Nature

DOWNLOAD EBOOK

This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally de