Mathematical Optimization for Machine Learning

Proceedings of the MATH+ Thematic Einstein Semester 2023

AvKonstantin Fackeldey,Aswin Kannan

Inbunden, Engelska, 2025

Del i serien De Gruyter Proceedings in Mathematics

2 304 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

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

Utforska kategorier

Mer om författaren

Hoppa över listan

Du kanske också är intresserad av

Masashi Sugiyama, Paul D. McNicholas, Swati Gupta, Antoine Deza, Sanjeena Dang, Sebastian Pokutta - Data Science and Optimization, E-bok

Data Science and Optimization

Masashi Sugiyama, Paul D. McNicholas, Swati Gupta, Antoine Deza, Sanjeena Dang, Sebastian Pokutta

E-bok
2026

2 840 kr

Gábor Braun, Alejandro Carderera, Cyrille W. Combettes, Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Sebastian Pokutta - Conditional Gradient Methods, Häftad

Conditional Gradient Methods

Gábor Braun, Alejandro Carderera, Cyrille W. Combettes, Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Sebastian Pokutta

Häftad, 2025

879 kr

Sanjeena Dang, Antoine Deza, Swati Gupta, Paul D. McNicholas, Masashi Sugiyama, Sebastian Pokutta - Data Science and Optimization, Inbunden

Data Science and Optimization

Sanjeena Dang, Antoine Deza, Swati Gupta, Paul D. McNicholas, Masashi Sugiyama, Sebastian Pokutta

Inbunden, 2026

2 164 kr