Archive

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

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