Archive

March 2026
IDeAS
  • Diana Halikias
  • NYU Tandon School of Engineering

Operator learning without the adjoint

IDeAS
  • Per-Gunnar Martinsson
  • The University of Texas at Austin

Randomized algorithms for linear algebraic computations

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