An Introduction To Matrix Concentration Inequalities
DOWNLOAD
Download An Introduction To Matrix Concentration Inequalities PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get An Introduction To Matrix Concentration Inequalities book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
An Introduction To Matrix Concentration Inequalities
DOWNLOAD
Author : Joel Tropp
language : en
Publisher:
Release Date : 2015-05-27
An Introduction To Matrix Concentration Inequalities written by Joel Tropp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-27 with Computers categories.
Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. It is therefore desirable to have tools for studying random matrices that are flexible, easy to use, and powerful. Over the last fifteen years, researchers have developed a remarkable family of results, called matrix concentration inequalities, that achieve all of these goals. This monograph offers an invitation to the field of matrix concentration inequalities. It begins with some history of random matrix theory; it describes a flexible model for random matrices that is suitable for many problems; and it discusses the most important matrix concentration results. To demonstrate the value of these techniques, the presentation includes examples drawn from statistics, machine learning, optimization, combinatorics, algorithms, scientific computing, and beyond.
An Introduction To Matrix Concentration Inequalities
DOWNLOAD
Author : Joel Aaron Tropp
language : en
Publisher:
Release Date : 2015
An Introduction To Matrix Concentration Inequalities written by Joel Aaron Tropp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Matrix derivatives categories.
Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. Therefore, it is desirable to have tools for studying random matrices that are flexible, easy to use, and powerful. Over the last fifteen years, researchers have developed a remarkable family of results, called matrix concentration inequalities, that achieve all of these goals. This monograph offers an invitation to the field of matrix concentration inequalities. It begins with some history of random matrix theory; it describes a flexible model for random matrices that is suitable for many problems; and it discusses the most important matrix concentration results. To demonstrate the value of these techniques, the presentation includes examples drawn from statistics, machine learning, optimization, combinatorics, algorithms, scientific computing, and beyond.
An Introduction To Random Matrices
DOWNLOAD
Author : Greg W. Anderson
language : en
Publisher: Cambridge University Press
Release Date : 2010
An Introduction To Random Matrices written by Greg W. Anderson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory.
Concentration Inequalities
DOWNLOAD
Author : Stéphane Boucheron
language : en
Publisher: Oxford University Press
Release Date : 2013-02-07
Concentration Inequalities written by Stéphane Boucheron and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-07 with Mathematics categories.
Describes the interplay between the probabilistic structure (independence) and a variety of tools ranging from functional inequalities to transportation arguments to information theory. Applications to the study of empirical processes, random projections, random matrix theory, and threshold phenomena are also presented.
Large Random Matrices
DOWNLOAD
Author : Alice Guionnet
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-25
Large Random Matrices written by Alice Guionnet and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-25 with Mathematics categories.
These lectures emphasize the relation between the problem of enumerating complicated graphs and the related large deviations questions. Such questions are closely related with the asymptotic distribution of matrices.
Topics In Random Matrix Theory
DOWNLOAD
Author : Terence Tao
language : en
Publisher: American Mathematical Soc.
Release Date : 2012-03-21
Topics In Random Matrix Theory written by Terence Tao and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-21 with Mathematics categories.
The field of random matrix theory has seen an explosion of activity in recent years, with connections to many areas of mathematics and physics. However, this makes the current state of the field almost too large to survey in a single book. In this graduate text, we focus on one specific sector of the field, namely the spectral distribution of random Wigner matrix ensembles (such as the Gaussian Unitary Ensemble), as well as iid matrix ensembles. The text is largely self-contained and starts with a review of relevant aspects of probability theory and linear algebra. With over 200 exercises, the book is suitable as an introductory text for beginning graduate students seeking to enter the field.
Oracle Inequalities In Empirical Risk Minimization And Sparse Recovery Problems
DOWNLOAD
Author : Vladimir Koltchinskii
language : en
Publisher: Springer
Release Date : 2011-07-29
Oracle Inequalities In Empirical Risk Minimization And Sparse Recovery Problems written by Vladimir Koltchinskii and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-29 with Mathematics categories.
The purpose of these lecture notes is to provide an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. In recent years, there have been new developments in this area motivated by the study of new classes of methods in machine learning such as large margin classification methods (boosting, kernel machines). The main probabilistic tools involved in the analysis of these problems are concentration and deviation inequalities by Talagrand along with other methods of empirical processes theory (symmetrization inequalities, contraction inequality for Rademacher sums, entropy and generic chaining bounds). Sparse recovery based on l_1-type penalization and low rank matrix recovery based on the nuclear norm penalization are other active areas of research, where the main problems can be stated in the framework of penalized empirical risk minimization, and concentration inequalities and empirical processes tools have proved to be very useful.
The Random Matrix Theory Of The Classical Compact Groups
DOWNLOAD
Author : Elizabeth S. Meckes
language : en
Publisher: Cambridge University Press
Release Date : 2019-08
The Random Matrix Theory Of The Classical Compact Groups written by Elizabeth S. Meckes and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08 with Mathematics categories.
Provides a comprehensive introduction to the theory of random orthogonal, unitary, and symplectic matrices.
An Introduction To Wishart Matrix Moments
DOWNLOAD
Author : Adrian N. Bishop
language : en
Publisher: Foundations and Trends (R) in Machine Learning
Release Date : 2018-12-07
An Introduction To Wishart Matrix Moments written by Adrian N. Bishop and has been published by Foundations and Trends (R) in Machine Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with categories.
This book, written in lecture note style, provides a comprehensive and self-contained introduction to the analysis of Wishart matrix moments. It can act as an introduction to some particular aspects of random matrix theory, or as a self-contained exposition of Wishart matrix moments.