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Profile
| Academic position | Full Professor |
|---|---|
| Research fields | Mathematics in computer science,Numerical analysis,Operations research, mathematical programming |
| Keywords | Dimension Reduction, Randomized Algorithms, Mathematics in Data Science, Mathematical Foundations of Machine Learning, Stochastic Gradient Descent |
Current contact address
| Country | United States of America |
|---|---|
| City | Austin |
| Institution | University of Texas at Austin |
| Institute | Department of Mathematics |
Host during sponsorship
| Prof. Dr. Felix Krahmer | Fakultät für Mathematik, Technische Universität München, Garching |
|---|---|
| Start of initial sponsorship | 19/12/2024 |
Programme(s)
| 2023 | Friedrich Wilhelm Bessel Research Award Programme |
|---|
Nominator's project description
| 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. |