Mathematical Optimization for Machine Learning
Proceedings of the MATH+ Thematic Einstein Semester 2023
Inbunden, Engelska, 2025
Av Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
2 839 kr
Beställningsvara. Skickas inom 3-6 vardagar
Fri frakt för medlemmar vid köp för minst 249 kr.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.
Produktinformation
- Utgivningsdatum2025-05-06
- Mått170 x 240 x undefined mm
- Vikt485 g
- SpråkEngelska
- SerieDe Gruyter Proceedings in Mathematics
- Antal sidor212
- FörlagDe Gruyter
- EAN9783111375854