Preprint
Sep 2026
Gradient-Free Optimization for Matrix functions
An alternative to the standard random gradient estimator is introduced, allowing for the projection step of spectral descent to be done at no extra cost and it is shown that by exploiting this low-rank property one obtains much faster convergence to good approximate solutions.
S. Allen, Cash Cherry, Aidan Eck et al.
· 0 citations