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Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics
Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics
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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 6 de mayo de 2025 |
| ISBN13 | 9783111375854 |
| Editores | De Gruyter |
| Páginas | 212 |
| Dimensiones | 150 × 220 × 20 mm · 485 g |
| Editor | Fackeldey, Konstantin |
| Editor | Kannan, Aswin |
| Editor | Pokutta, Sebastian |
| Editor | Sharma, Kartikey |
| Editor | Walter, Daniel |
| Editor | Walther, Andrea |
| Editor | Weiser, Martin |