By Category
By Year
April 2026
IDeAS
- Boris Landa
- Yale University
Euclidean Distance Deflation under High-Dimensional Heteroskedastic Noise
Other
- Victor Geadah
- Princeton University
Final Oral Public Examination
IDeAS
- Tom Trogdon
- University of Washington
Towards PCA without the SVD: Lanczos-based spike detection
IDeAS
- Elad Romanov
- Yale University
On Principal Component Regression in High Dimension
Other
- Shuangping Li
- Yale University
- Melanie Weber
- Harvard University
- Jiequn Han
- Flatiron Institute