"Geometric Optimization in Machine Learning"

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Book	Author(s)	Year	Publisher
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,
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
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
Genetic algorithms in search,optimization,and machine learning	Goldberg, David E.	1989	Addison-Wesley Pub. Co.
Stochastic Optimization for Large-scale Machine Learning	Vinod Kumar Chauhan	2021	Routledge
Machine learning under a modern optimization lens /	Bertsimas, Dimitris,; Dunn, Jack
Accelerated Optimization for Machine Learning: First-Order Algorithms	Zhouchen Lin; Huan Li; Cong Fang	1st ed. 2020	Springer Nature Singapore
Minimum Divergence Methods in Statistical Machine Learning: From an Information Geometric Viewpoint	Shinto Eguchi; Osamu Komori	1st ed. 2022	Springer Japan
Linear Algebra and Optimization for Machine Learning: A Textbook	Charu C. Aggarwal	1st ed. 2020	Springer International Publishing
First-order and Stochastic Optimization Methods for Machine Learning	Guanghui Lan	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
Geometric Algorithms and Combinatorial Optimization	Martin Grötschel; Laszlo Lovasz; Alexander Schrijver	1988	Springer Berlin Heidelberg
Geometric Algorithms and Combinatorial Optimization	Martin Grötschel, László Lovász, Alexander Schrijver (auth.)	1993	Springer-Verlag Berlin Heidelberg
Geometric Algorithms and Combinatorial Optimization	Martin Grötschel; László Lovász; Alexander Schrijver	2nd ed. 1993	Springer Berlin Heidelberg
Geometric Methods and Optimization Problems	V. Boltyanski; H. Martini; V. Soltan	1999	Springer US
Geometric computation for machine vision	Kenʼichi Kanatani	1993	Clarendon Press;Oxford University Press
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems	Panos M. Pardalos; Varvara Rasskazova; Michael N. Vrahatis	1st ed. 2021	Springer International Publishing
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Geometric problems in machine learning	David Dobkin; Dimitrios Gunopulos	Applied Computational Geometry. Towards Geometric Engineering: FCRC ' 96 Workshop, WACG ' 96, Philadelphia, PA, May 27 - 28, 1996, Selected Papers	Ming C. Lin; Dinesh Manocha	1996	Springer Berlin Heidelberg
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
7 - Tractable Optimization in Machine Learning	Suvrit Sra	Tractability: Practical Approaches to Hard Problems	Lucas Bordeaux; Youssef Hamadi; Pushmeet Kohli	2014-02	Cambridge University Press
132 Optimization problems in machine learning		Modern Optimization Methods for Science, Engineering and Technology	G. R. Sinha, Ahmed Sirajuddin, Chamorshikar Rajesh, Choubey Siddharth, Choubey Abha	2020	IOP Publishing
Biogeography-Based Optimization in Machine Learning	Yujun Zheng; Xueqin Lu; Minxia Zhang; Shengyong Chen	Biogeography-Based Optimization: Algorithms and Applications	Yujun Zheng; Xueqin Lu; Minxia Zhang; Shengyong Chen	1st ed. 2019	Springer Nature Singapore
Machine Learning in Energy Efficiency Optimization		Machine Learning for Future Wireless Communications	Fa-Long Luo	2020	Wiley-IEEE Press
2. 3. Optimization in Machine Learning		Artificial intelligence for the Internet of everything /	Lawless, William,; Mittu, Ranjeev,; Sofge, Donald,; Moskowitz, Ira S.,; Russell, Stephen,		Elsevier Science & Technology Books
Bilevel Optimization and Machine Learning	Kristin P. Bennett; Gautam Kunapuli; Jing Hu; Jong-Shi Pang	Computational Intelligence: Research Frontiers: IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures	Jacek M. Zurada; Gary G. Yen; Jun Wang	2008	Springer Berlin Heidelberg
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
Machine Learning, Regression and Optimization	Biswa Nath Datta; Biswajit Sahoo	Data Science and SDGs: Challenges, Opportunities and Realities	Bikas Kumar Sinha; Md. Nurul Haque Mollah	1st ed. 2021	Springer Nature Singapore
Chapter 14: Robust Optimization in Machine Learning		Optimization for Machine Learning	Suvrit Sra; Sebastian Nowozin; Stephen J. Wright	2011	MIT Press,
Machine Learning, Deep Learning-Based Optimization in Multilayered Cloud	Punit Gupta; Mayank Kumar Goyal	Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Machine Learning and Geometric Technique for SLAM	Miguel Bernal-Marin; Eduardo Bayro-Corrochano	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Guadalajara, Jalisco, México, November 15-18, 2009. Proceedings	Eduardo Bayro-Corrochano; Jan-Olof Eklundh	2009	Springer Berlin Heidelberg
Statistical Machine Learning and Combinatorial Optimization	A. Berny	Theoretical Aspects of Evolutionary Computing	Leila Kallel; Bart Naudts; Alex Rogers	2001	Springer Berlin Heidelberg
Introduction: Machine Learning for Intelligent Optimization	Roberto Battiti; Franco Mascia; Mauro Brunato	Reactive Search and Intelligent Optimization	Roberto Battiti; Mauro Brunato; Franco Mascia	2009	Springer US
Inventory Optimization Using Machine Learning Algorithms	Paras Gurnani; Divesh Hariani; Karan Kalani; Praveen Mirchandani; Lifna CS	Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2021	I. Jeena Jacob; Selvanayaki Kolandapalayam Shanmugam; Robert Bestak	1st ed. 2022	Springer Nature Singapore
Machine Learning and Trade Schedule Optimization	Robert L. Kissell	Algorithmic Trading Methods (Second Edition)	Robert Kissell	2020	Academic Press
CUDA for Machine Learning and Optimization		CUDA Application Design and Development	Rob Farber	2012	Morgan Kaufmann
3. Quantum optimization for machine learning	Ashish Mani; Siddhartha Bhattacharyya; Amlan Chatterjee	Quantum Machine Learning	Siddhartha Bhattacharyya; Indrajit Pan; Ashish Mani; Sourav De; Elizabeth Behrman; Susanta Chakraborti	2020	De Gruyter
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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