[PDF][PDF] The interplay of optimization and machine learning research

KP Bennett, E Parrado-Hernández - The Journal of Machine Learning …, 2006 - jmlr.org
The fields of machine learning and mathematical programming are increasingly intertwined.
Optimization problems lie at the heart of most machine learning approaches. The Special …

[图书][B] An introduction to optimization: with applications to machine learning

EKP Chong, WS Lu, SH Zak - 2023 - books.google.com
An Introduction to Optimization Accessible introductory textbook on optimization theory and
methods, with an emphasis on engineering design, featuring MATLAB® exercises and …

[图书][B] Optimization for machine learning

S Sra, S Nowozin, SJ Wright - 2011 - books.google.com
An up-to-date account of the interplay between optimization and machine learning,
accessible to students and researchers in both communities. The interplay between …

Optimization methods for supervised machine learning: From linear models to deep learning

FE Curtis, K Scheinberg - Leading developments from …, 2017 - pubsonline.informs.org
The goal of this tutorial is to introduce key models, algorithms, and open questions related to
the use of optimization methods for solving problems arising in machine learning. It is written …

Optimization problems for machine learning: A survey

C Gambella, B Ghaddar, J Naoum-Sawaya - European Journal of …, 2021 - Elsevier
This paper surveys the machine learning literature and presents in an optimization
framework several commonly used machine learning approaches. Particularly …

A survey of optimization methods from a machine learning perspective

S Sun, Z Cao, H Zhu, J Zhao - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
Machine learning develops rapidly, which has made many theoretical breakthroughs and is
widely applied in various fields. Optimization, as an important part of machine learning, has …

[PDF][PDF] Theory of convex optimization for machine learning

S Bubeck - arXiv preprint arXiv:1405.4980, 2014 - Citeseer
This monograph presents the main mathematical ideas in convex optimization. Starting from
the fundamental theory of black-box optimization, the material progresses towards recent …

[图书][B] Computational intelligence for optimization

N Ansari, E Hou - 2012 - books.google.com
The field of optimization is interdisciplinary in nature, and has been making a significant
impact on many disciplines. As a result, it is an indispensable tool for many practitioners in …

Machine learning for combinatorial optimization: a methodological tour d'horizon

Y Bengio, A Lodi, A Prouvost - European Journal of Operational Research, 2021 - Elsevier
This paper surveys the recent attempts, both from the machine learning and operations
research communities, at leveraging machine learning to solve combinatorial optimization …

[图书][B] Linear algebra and optimization for machine learning

CC Aggarwal, LF Aggarwal, Lagerstrom-Fife - 2020 - Springer
A frequent challenge faced by beginners in machine learning is the extensive background
required in linear algebra and optimization. One problem is that the existing linear algebra …