By Category
By Year
April 2026
IDeAS
- Tom Trogdon
- University of Washington
Towards PCA without the SVD: Lanczos-based spike detection
PACM Colloquium
- Bartolomeo Stellato
- Princeton University
Data-Driven Perspectives on First-Order Methods for Convex Optimization
IDeAS
- Elad Romanov
- Yale University
On Principal Component Regression in High Dimension
IDeAS
- Daniel B. Szyld
- Temple University
Convergence of Randomized and Greedy Block Gauss-Seidel methods, as well as Asynchronous Iterations
PACM Colloquium
- Nikhil Srivastava
- UC Berkeley