Minipatch Learning for Selection, Stability, Inference, and Scalability — NSF Award to Columbia University (NY, $195,479)
Massive amounts of data are now collected by nearly every industry and academic discipline. Uncovering the hidden insights in such data holds the key to major scientific challenges such as understanding how the brain works, discovering mechanisms leading to diseases such as cancer and Alzheimer's disease, and combating
| Award title | Minipatch Learning for Selection, Stability, Inference, and Scalability |
|---|---|
| Award ID | 2516872 |
| Awardee | Columbia University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $195,479 |
| Principal investigator | Genevera Allen |
| Program | STATISTICS |
| Start date | 02/01/2025 |
| Abstract | Massive amounts of data are now collected by nearly every industry and academic discipline. Uncovering the hidden insights in such data holds the key to major scientific challenges such as understanding how the brain works, discovering mechanisms leading to diseases such as cancer and Alzheimer's disease, and combating climate change, among many others. But discovering key features and important relationships in complex and huge data poses major statistical and computational challenges. The inve |
| Source | NSF Awards |
$799/mo
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