AI RESEARCH
Fast and Effective Computation of Generalized Symmetric Matrix Factorization
arXiv CS.LG
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ArXi:2603.19147v1 Announce Type: cross In this paper, we study a nonconvex, nonsmooth, and non-Lipschitz generalized symmetric matrix factorization model that unifies a broad class of matrix factorization formulations arising in machine learning, image science, engineering, and related areas. We first establish two exactness properties.