"Distributed Block Coordinate Descent for Minimizing Partially Separable Functions"

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Book	Author(s)	Year	Publisher
Partially separable functions	Thomas Andrew Slivinski	1967	Dept. of Computer Science, University of Illinois
Simplicial Algorithms for Minimizing Polyhedral Functions	M. R. Osborne	February 15, 2001	Cambridge University Press
Elementary functions and coordinate geometry	S. T. Hu	1969	Markham Pub. Co.
Elementary functions and coordinate geometry.	S. T. Hu	1969	Markham Pub. Co.
Enumeration of pseudo-separable functions of five variables	Glenn W. Fagerlin	1968
Motor Cortex in Voluntary Movements: A Distributed System for Distributed Functions	Alexa Riehle; Eilon Vaadia	2004	Routledge
A programmed guide to elementary functions with coordinate geometry	Roy A. Dobyns	1971	Prindle, Weber & Schmidt
Separable Algebras	Timothy J. Ford	2017	American Mathematical Society
Coordinate Geometry for JEE (Advanced)	G. Tewani		Cengage
Process for minimizing discretionary expenditures	Massachusetts. Executive Office for Administration and Finance	1989	Commonwealth of Massachusetts, Executive Office for Administration and Finance
Coordinate geometry	Henry Burchard Fine	1909	Macmillan
Coordinate geometry	Henry Burchard Fine	1909	The Macmillan Company
Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs	Kurt Marti	1988	Springer Berlin Heidelberg
The common descent group in China and its functions	Hien-chin Hu	1948
The non-separable process	Eduardo Carandang Nocon	1973	Naval Postgraduate School
Block Pulse Functions and Their Applications in Control Systems	Zhihua Jiang; Walter Schaufelberger	1992	Springer Berlin Heidelberg
Minimizing taxes	Jay McIlvaine Lee, John H. Sears	1931	Vernon law Book Co.
Partially Kept	Martha Ronk	2012	Nightboat Books
Le coordinate cartesiane.	Lorenzo Carletti	1969	Tip. C. Perego
Plane coordinate systems	Oscar S. Adams	1933	G.P.O.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Distributed Block Coordinate Descent for Minimizing Partially Separable Functions	Jakub Mareček; Peter Richtárik; Martin Takáč	Numerical Analysis and Optimization: NAO-III, Muscat, Oman, January 2014	Mehiddin Al-Baali; Lucio Grandinetti; Anton Purnama	1st ed. 2015	Springer International Publishing
Block Coordinate Descent Methods for Semidefinite Programming	Zaiwen Wen; Donald Goldfarb; Katya Scheinberg	Handbook on Semidefinite, Conic and Polynomial Optimization	Miguel F. Anjos; Jean B. Lasserre	2012	Springer US
Block Coordinate Descent Approximation for GPR Models		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Block Coordinate Descent Approximation for GPR Models		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
652 Distributed Asynchronous Coordinate Descent 376		Convex Optimization Algorithms (for Algorithmix)	Dimitri P. Bertsekas	2015	Athena Scientific
Distributed Coordinate Descent for L1-regularized Logistic Regression	Ilya Trofimov; Alexander Genkin	Analysis of Images, Social Networks and Texts: 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers	Mikhail Yu. Khachay; Natalia Konstantinova; Alexander Panchenko; Dmitry Ignatov; Valeri G. Labunets	1st ed. 2015	Springer International Publishing
Minimizing cost functions with gradient descent		Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2	by Sebastian Raschka (Author), Vahid Mirjalili (Author)	2019	Packt
Minimizing cost functions with gradient descent		Python Machine Learning - Second Edition	Raschka, Sebastian; Mirjalili, Vahid	2017	Packt Publishing
Minimizing cost functions with gradient descent		Python Machine Learning - Second Edition	Raschka, Sebastian; Mirjalili, Vahid	2017	Packt Publishing
Minimizing loss functions with gradient descent		MACHINE LEARNING WITH PYTORCH AND SCIKIT-LEARN: develop machine learning and deep learning. . . models with scikit-learn and pytorch.	SEBASTIAN LIU YUXI (HAYDEN) MIRJALILI VAHID RASCHKA	2022	PACKT PUBLISHING LIMITED
Minimizing cost functions with gradient descent		Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition	Raschka, Sebastian; Mirjalili, Vahid	2019	Packt Publishing
Minimizing cost functions with gradient descent		Python: Real-World Data Science	Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka	2016	Packt Publishing Limited
Minimizing cost functions with gradient descent		Python: Real-World Data Science: A course in four modules	Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton	2016	Packt Publishing
A Distributed Coordinate Descent Algorithm for Learning Factorization Machine	Kankan Zhao; Jing Zhang; Liangfu Zhang; Cuiping Li; Hong Chen	Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II	Hady W. Lauw; Raymond Chi-Wing Wong; Alexandros Ntoulas; Ee-Peng Lim; See-Kiong Ng; Sinno Jialin Pan	1st ed. 2020	Springer International Publishing
Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems	Zhanxing Zhu; Amos J. Storkey	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I	Annalisa Appice; Pedro Pereira Rodrigues; Vítor Santos Costa; Carlos Soares; João Gama; Alípio Jorge	1st ed. 2015	Springer International Publishing
Separable Functions		Operations research: theory and applications	J. K. Sharma	2016	Trinity
6 - Coordinate Descent		Optimization for Data Analysis	Stephen J. Wright; Benjamin Recht	2022-04	Cambridge University Press
2 Coordinate Descent		Handbook of Computational Statistics and Data Science (2021) [et al] []	Piegorsch	2021	Wiley
72 Coordinate Descent		Boosting: Foundations and Algorithms	Robert E. Schapire, Yoav Freund	2014	The MIT Press
Approximate Structured Optimization by Cyclic Block-Coordinate Descent	Jorge Villavicencio; Michael D. Grigoriadis	Applied Mathematics and Parallel Computing: Festschrift for Klaus Ritter	Herbert Fischer; Bruno Riedmüller; Stefan Schäffler	1996	Physica-Verlag HD
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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