This Project Grant award of $450,000 from the National Science Foundation's Engineering program (CFDA 47.041) will support research on bi-level optimization for hierarchical machine learning problems. The award to the Regents of the University of Minnesota, conducting the work through their Office of Sponsored Projects Administration, aims to develop new approaches for modeling, analyzing, and innovating on a wide array of emerging machine learning applications using bi-level optimization techniques. The project will also integrate an educational plan to revamp existing optimization and machine learning courses, develop new course projects on applying bi-level optimization algorithms, and involve undergraduate and graduate students, especially from underrepresented groups, in the research. This award, with a period of performance from August 1, 2024 to July 31, 2027, reflects the National Science Foundation's mission to advance scientific knowledge and enable innovative technological solutions.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $450.0k | 7/31/24 |