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Mathematical Optimization for Machine Learning
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Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.
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Keywords
- discrete optimization
- Machine learning
- Mathematical optimization
- nonlinear optimization
- Physics informed learning
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
- thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Links
DOI: 10.1515/9783111376776Editions