Past von Neumann Fellow
Rachel Ward
Funding provided by the National Science Foundation
Affiliation
Mathematics
Field of study
Applied Mathematics and Machine Learning
Website
From
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Rachel Ward is interested in developing mathematical theory for modern optimization methods in large-scale machine learning. At IAS, Ward hopes to draw from and develop tools in probability and analysis to shed more light on aspects of modern large-scale optimization, such as generalization, overparameterization, adaptivity, and stability.
Visits
von Neumann Fellow
School of Mathematics
–
Fall
Degrees
Princeton University
Ph.D.
2009