Mathematical Optimization for Machine Learning

Konstantin Fackeldey • Aswin Kannan • Sebastian Pokutta • Kartikey Sharma • Daniel Walter

Inbunden

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240 sidor
2025

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.

Författare: Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter
Format: Inbunden
ISBN: 9783111375854
Språk: Engelska
Antal sidor: 240
Utgivningsdatum: 2025-05-19
Förlag: De Gruyter