no code implementations • 31 Jul 2023 • Chester Holtz, PengWen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne
Motivated by the need to address the degeneracy of canonical Laplace learning algorithms in low label rates, we propose to reformulate graph-based semi-supervised learning as a nonconvex generalization of a \emph{Trust-Region Subproblem} (TRS).
