Sebastian Pokutta – författare
Visar alla böcker från författaren Sebastian Pokutta. Handla med fri frakt och snabb leverans.
5 produkter
Conditional Gradient Methods
From Core Principles to AI Applications
Av Gábor Braun, Alejandro Carderera m. fl.
Häftad, 2025
906 kr
Lägg i varukorg
Conditional Gradient Methods: From Core Principles to AI Applications offers a definitive and modern treatment of one of the most elegant and versatile algorithmic families in optimization: the Frank–Wolfe method and its many variants. Originally proposed in the 1950s, these projection-free …
Data Science and Optimization
Av Sanjeena Dang, Antoine Deza m. fl.
Inbunden, 2026
2188 kr
Lägg i varukorg
Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science …
Data Science and Optimization
Av Masashi Sugiyama, Paul D. McNicholas m. fl.
E-bok, 2026
2925 kr
Lägg i varukorg
Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science …
Theoretical Foundations of Deep Learning
Av Christopher Bülte, Martin Burger m. fl.
Inbunden, 2027
2191 kr
Kommande
This book offers a comprehensive exploration of the theoretical foundations of deep learning, bridging the gap between its ever increasing empirical success and rigorous mathematical understanding. With a focus on interdisciplinary approaches, it illuminates the interplay between mathematics, …
Mathematical Optimization for Machine Learning
Proceedings of the MATH+ Thematic Einstein Semester 2023
Av Konstantin Fackeldey, Aswin Kannan m. fl.
Inbunden, 2025
2369 kr
Lägg i varukorg
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 …