
Mathematical Optimization for Machine Learning
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.
- Alaotsikko
- Proceedings of the MATH+ Thematic Einstein Semester 2023
- Toimittaja
- Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
- ISBN
- 9783111375854
- Kieli
- englanti
- Paino
- 485 grammaa
- Julkaisupäivä
- 6.5.2025
- Kustantaja
- De Gruyter
- Sivumäärä
- 212