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2004, ISBN 0521833787
Book
Foundations and trends in machine learning, ISSN 1935-8237, 2015, Volume 8, Issue 3-4, pp. 231 - 357
This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms... 
Computational geometry | Algorithms | Machine learning | Convexity | Stochasticity | Descent | Optimization | Complexity
Journal Article
2010, ISBN 9780521762229, Volume 9780521762229, xiv, 498
Over the past two decades there have been significant advances in the field of optimization... 
Signal processing | Mathematical optimization | Convex functions
Book
Foundations and trends in machine learning, ISSN 1935-8237, 2011, Volume 4, Issue 2, pp. 107 - 194
Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence of... 
Distance education | Distance learning | Algorithms | Machine learning | Convexity | Online | Readers | Information theory
Journal Article
Journal Article
Operations research, ISSN 0030-364X, 10/2015, Volume 63, Issue 5, pp. 1227 - 1244
Journal Article
2011, ISBN 1420094238, xix, 425
Book
The annals of applied statistics, ISSN 1932-6157, 12/2007, Volume 1, Issue 2, pp. 302 - 332
We consider "one-at-a-time" coordinate-wise descent algorithms for a class of convex optimization problems... 
Algorithms | Threshing | Run time | Least squares | Coordinate systems | Mathematical independent variables | Data smoothing | Pixels | Image reconstruction | Fortran | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology
Journal Article
IEEE transactions on signal processing, ISSN 1053-587X, 06/2016, Volume 64, Issue 12, pp. 3118 - 3130
Journal Article
2020, Graduate Texts in Operations Research, ISBN 9783030418038, 278
This textbook offers graduate students a concise introduction to the classic notions of convex optimization... 
eBook
Foundations and trends in machine learning, ISSN 1935-8237, 2010, Volume 3, Issue 1, pp. 1 - 122
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization... 
Algorithms | Multipliers | Machine learning | Regression | Iterative algorithms | Surveying | Statistics | Optimization
Journal Article