Yale University was awarded a $370,000 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise.
Under this three-year award beginning July 2021, Yale researchers will conduct work related to overparameterization and the global convergence of the Expectation-Maximization algorithm. The grant will support research exploring these topics in machine learning and statistics and their implications. Findings from this work have the potential to advance mathematical and computational techniques with applications across scientific domains.
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