Gastgeber*innen während der Förderung
| Prof. Dr. Felix Krahmer | Fakultät für Mathematik, Technische Universität München, Garching |
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| Beginn der ersten Förderung | 19.12.2024 |
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Projektbeschreibung der*des Nominierenden
| Professor Ward is well known internationally for her seminal contributions to the mathematical foundations of machine learning and data science. She recently generated a significant impact with her theoretical results explaining why stochastic gradient descent approaches are such a powerful tool for training deep neural networks. During her stay in Germany, she intends to advance the mathematical theory of the method of sparse Fourier features, a machine learning approach that she recently proposed for the small data regime. |
