Mohamad Elmasri

Gradient descent in matrix factorization: Understanding large initialization

Gradient Descent (GD) has been proven effective in solving various matrix factorization problems. However, its optimization behavior with large initial values remains less understood. To address this gap, this paper presents a novel theoretical framework for examining the convergence trajectory of G…