"First-order and Stochastic Optimization Methods for Machine Learning"

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Book	Author(s)	Year	Publisher
First-order and Stochastic Optimization Methods for Machine Learning	Guanghui Lan	1st ed. 2020	Springer International Publishing
Accelerated Optimization for Machine Learning: First-Order Algorithms	Zhouchen Lin; Huan Li; Cong Fang	1st ed. 2020	Springer Nature Singapore
Stochastic Optimization for Large-scale Machine Learning	Vinod Kumar Chauhan	2021	Routledge
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Optimization for Machine Learning	Suvrit Sra; Sebastian Nowozin; Stephen J. Wright	2011	MIT Press,
Stochastic Optimization Methods	Kurt Marti	2nd ed. 2008	Springer Berlin Heidelberg
Stochastic Optimization Methods	Kurt Marti	2005	Springer Berlin Heidelberg
Learning Automata and Stochastic Optimization	A.S. Poznyak; K. Najim	1997	Springer Berlin Heidelberg
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Machine Learning Methods for Planning	Steven Minton	1993	Morgan Kaufmann
Statistical Methods for Machine Learning	Jason Brownlee	0
Machine learning methods for planning	Steven Minton	1993	M. Kaufmann
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods	S. Bhatnagar; H.L. Prasad; L.A. Prashanth	2013	Springer London
Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Distributed Machine Learning and Gradient Optimization	Jiawei Jiang; Bin Cui; Ce Zhang	1st ed. 2022	Springer Nature Singapore
Stochastic Optimization: Numerical Methods and Technical Applications	Kurt Marti	1992	Springer Berlin Heidelberg
Machine Learning for Model Order Reduction	Khaled Salah Mohamed	1st ed. 2018	Springer International Publishing
Linear Algebra and Optimization for Machine Learning: A Textbook	Charu C. Aggarwal	1st ed. 2020	Springer International Publishing
Machine Learning for Solar Array Monitoring, Optimization, and Control	Sunil Rao; Sameeksha Katoch; Vivek Narayanaswamy; Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias		Springer International Publishing
Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Stochastic Optimization Methods in Machine Learning	Loc Vu-Quoc; Alexander Humer	Reliability-Based Analysis and Design of Structures and Infrastructure	Ehsan Noroozinejad Farsangi; Mohammad Noori; Paolo Gardoni; Izuru Takewaki; Humberto Varum; Aleksandra Bogdanovic	2021	Routledge
A Review of Classical First Order Optimization Methods in Machine Learning	Zhang Menghan	Recent Developments in Mechatronics and Intelligent Robotics: Proceedings of International Conference on Mechatronics and Intelligent Robotics (ICMIR2018)	Kevin Deng; Zhengtao Yu; Srikanta Patnaik; John Wang	1st ed. 2019	Springer International Publishing
Stochastic Optimization Methods	Kurt Marti	Stochastic Optimization Methods: Applications in Engineering and Operations Research	Kurt Marti	3rd ed. 2015	Springer Berlin Heidelberg
Stochastic Optimization Methods	H Irem Erten; H Arda Deveci; H Seçil Artem	Designing Engineering Structures Using Stochastic Optimization Methods	Levent Aydin; H. Seçil Artem; Selda Oterkus	2020	Routledge
Stochastic Optimization Methods	Rosario Toscano	Structured Controllers for Uncertain Systems: A Stochastic Optimization Approach	Rosario Toscano	2013	Springer London
7 - First-Order Methods for Constrained Optimization		Optimization for Data Analysis	Stephen J. Wright; Benjamin Recht	2022-04	Cambridge University Press
First Order Methods for Optimization on Riemannian Manifolds	Orizon P. Ferreira; Maurício S. Louzeiro; Leandro F. Prudente	Handbook of Variational Methods for Nonlinear Geometric Data	Philipp Grohs; Martin Holler; Andreas Weinmann	1st ed. 2020	Springer International Publishing
CUDA for Machine Learning and Optimization		CUDA Application Design and Development	Rob Farber	2012	Morgan Kaufmann
Stochastic-Learning Methods	Carlos F.M. Coimbra; Hugo T.C. Pedro	Solar Energy Forecasting and Resource Assessment	Jan Kleissl	2013	Academic Press
Optimization Techniques for Machine Learning	Souad Taleb Zouggar; Abdelkader Adla	Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Global optimization and stochastic methods		Nonlinear Parameter Optimization using R tools	John C. Nash	2014	John Wiley & Sons
Optimization by Stochastic Methods	Franklin Mendivil, R. Shonkwiler, and M.C. Spruill	Handbook of Stochastic Analysis and Applications	D. Kannan; V. Lakshmikantham	2002	Routledge
Stochastic Gradient Methods For Simulation Optimization		Wiley Encyclopedia of Operations Research and Management Science	James J. Cochran, Louis A. Cox Jr., Pinar Keskinocak, Jeffrey P. Kharoufeh, J. Cole Smith	2015	Wiley
Stochastic Search Methods for Global Optimization		Wiley Encyclopedia of Operations Research and Management Science	James J. Cochran, Louis A. Cox Jr., Pinar Keskinocak, Jeffrey P. Kharoufeh, J. Cole Smith	2015	Wiley
Stochastic Methods in Distributed Optimization and Game-Theoretic Learning	Tatiana Tatarenko	Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems	Tatiana Tatarenko	1st ed. 2017	Springer International Publishing
Machine learning methods		Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods	Uwe Engel; Anabel Quan-Haase; Sunny Liu; Lars Lyberg	2021	Routledge
Machine Learning Methods		Supervised Machine Learning for Text Analysis in R	Emil Hvitfeldt; Julia Silge	2021	Routledge
Machine Learning Methods	Liu Chu	Uncertainty Quantification of Stochastic Defects in Materials	Liu Chu	2021	Routledge
Machine Learning Methods		Survival Analysis	H J Vaman; Prabhanjan Tattar	2022	Routledge
Machine Learning Methods	Shyamasree Ghosh; Rathi Dasgupta	Machine Learning in Biological Sciences: Updates and Future Prospects	Shyamasree Ghosh; Rathi Dasgupta	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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