2 papers
math.OC2026
Learning nonnegative matrix factorizations from compressed data
Abraar Chaudhry, Elizaveta Rebrova
We propose a flexible and theoretically supported framework for scalable nonnegative matrix factorization. The goal is to find nonnegative low-rank components directly from compres…
math.OC2025
On Complexity of Model-Based Derivative-Free Methods
Abraar Chaudhry, Katya Scheinberg
In many applications of mathematical optimization, one may wish to optimize an objective function without access to its derivatives. These situations call for derivative-free optim…