"Stochastic Optimization Methods in 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
Stochastic Optimization for Large-scale Machine Learning	Vinod Kumar Chauhan	2021	Routledge
Stochastic Optimization Methods	Kurt Marti	2nd ed. 2008	Springer Berlin Heidelberg
Stochastic Optimization Methods	Kurt Marti	2005	Springer Berlin Heidelberg
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,
Learning Automata and Stochastic Optimization	A.S. Poznyak; K. Najim	1997	Springer Berlin Heidelberg
Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
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
Designing Engineering Structures Using Stochastic Optimization Methods	Levent Aydin; H. Seçil Artem; Selda Oterkus	2020	Routledge
Stochastic Optimization	Johannes Schneider; Scott Kirkpatrick	2006	Springer Berlin Heidelberg
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
Stochastic Optimization Methods: Applications in Engineering and Operations Research	Kurt Marti	3rd ed. 2015	Springer Berlin Heidelberg
Genetic algorithms in search,optimization,and machine learning	Goldberg, David E.	1989	Addison-Wesley Pub. Co.
Optimization Under Stochastic Uncertainty: Methods, Control and Random Search Methods	Kurt Marti	1st ed. 2020	Springer International Publishing
Stochastic Learning and Optimization: A Sensitivity-Based Approach	Xi-Ren Cao	2007	Springer US
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods	S. Bhatnagar; H.L. Prasad; L.A. Prashanth	2013	Springer London
Machine learning under a modern optimization lens /	Bertsimas, Dimitris,; Dunn, Jack
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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
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
Stochastic optimization methods in engineering	Kurt Marti	System Modelling and Optimization: Proceedings of the Seventeenth IFIP TC7 Conference on System Modelling and Optimization, 1995	J. Dolezal; Jiri Fidler	1996	Springer US
Learning in Stochastic Machine Scheduling	Sebastián Marbán; Cyriel Rutten; Tjark Vredeveld	Approximation and Online Algorithms: 9th International Workshop, WAOA 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers	Roberto Solis-Oba; Giuseppe Persiano	2012	Springer Berlin Heidelberg
Stochastic-Learning Methods	Carlos F.M. Coimbra; Hugo T.C. Pedro	Solar Energy Forecasting and Resource Assessment	Jan Kleissl	2013	Academic Press
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 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
Geometric Optimization in Machine Learning	Suvrit Sra; Reshad Hosseini	Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization	Hà Quang Minh; Vittorio Murino	1st ed. 2016	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
Machine Learning Methods		Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data	Khaled El Emam, Lucy Mosquera, Richard Hoptroff	2020	O'Reilly Media
Machine learning methods		Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Machine learning methods		Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (2013)	Владимир П. Селегей и др. (ред.)	2013
Machine Learning Methods		Comprehensive Medicinal Chemistry II, Volume 3: Drug Discovery Technologies	David J Triggle, John B Taylor	2006	Elsevier Science
Machine Learning, Ensemble Methods in	Sašo Džeroski; Panče Panov; Bernard Ženko	Computational Complexity: Theory, Techniques, and Applications	Robert A. Meyers	2012	Springer New York
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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