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Conditional gradient methods : from core principles to AI applications / Gábor Braun, Alejandro Carderera, Cyrille W. Combettes, Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Sebastian Pokutta.
- Format:
- Book
- Author/Creator:
- Braun, Gábor, Author.
- Carderera, Alejandro, author.
- Combettes, Cyrille W., author.
- Hassani, Hamed, author.
- Karbasi, Amin, author.
- Mokhtari, Aryan, author.
- Pokutta, Sebastian, 1980- author.
- Language:
- English
- Subjects (All):
- Constrained optimization.
- Approximation algorithms.
- Linear programming.
- Iterative methods (Mathematics).
- Convex functions.
- Conditional expectations (Mathematics).
- Place of Publication:
- Society for Industrial and Applied Mathematics, 2025.
- Summary:
- "Unites deep theoretical insights with practical considerations and guides readers through the foundations of constrained optimization and into cutting-edge territory, including stochastic, online, and distributed settings"-- Provided by publisher.
- Contents:
- Basics of Frank-Wolfe algorithms
- Improvements and generalizations of Frank-Wolfe algorithms
- Conditional gradients in the large-scale setting
- Miscellaneous.
- ISBN:
- 1-61197-856-4
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