Optimization and Learning

Optimization and Learning
Author: Bernabé Dorronsoro
Publisher: Springer Nature
Total Pages: 377
Release: 2021-08-16
Genre: Computers
ISBN: 3030856720

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This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 2021. Due to the COVID-19 pandemic the conference was held online. The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on ​synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.


Optimization and Learning
Language: en
Pages: 377
Authors: Bernabé Dorronsoro
Categories: Computers
Type: BOOK - Published: 2021-08-16 - Publisher: Springer Nature

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This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 202
Optimization for Machine Learning
Language: en
Pages: 509
Authors: Suvrit Sra
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: MIT Press

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An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay betw
Accelerated Optimization for Machine Learning
Language: en
Pages: 286
Authors: Zhouchen Lin
Categories: Computers
Type: BOOK - Published: 2020-05-29 - Publisher: Springer Nature

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This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problem
Optimization and Learning
Language: en
Pages: 298
Authors: Bernabé Dorronsoro
Categories: Computers
Type: BOOK - Published: 2020-02-15 - Publisher: Springer Nature

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This volume constitutes the refereed proceedings of the Third International Conference on Optimization and Learning, OLA 2020, held in Cádiz, Spain, in Februar
First-order and Stochastic Optimization Methods for Machine Learning
Language: en
Pages: 591
Authors: Guanghui Lan
Categories: Mathematics
Type: BOOK - Published: 2020-05-15 - Publisher: Springer Nature

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This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.