By Category
By Year
February 2026
IDeAS
- Ethan Nicholas Epperly
- UC Berkeley
Sparser, better, faster, stronger: Emerging approaches in the theory and practice of randomized dimensionality reduction
December 2025
IDeAS
- Sheng Xu
- Princeton University
Signal Recovery under Non-Uniform Group Actions
September 2025
IDeAS
- Mateo Diaz
- Johns Hopkins University
Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
January 2025
IDeAS
- Dhruv Kohli
- UC San Diego
From Local Views to Global Embedding: Methods in Bottom-Up Manifold Learning
IDeAS
- Paul Beckman
- Courant Institute, New York University