59 citations · 238 across the 20 of their papers we have counts for
Showing math.NAShow all
2 papers · 1 filter
math.NA2016
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Dejiao Zhang, Laura Balzano
Subspace learning and matrix factorization problems have great many applications in science and engineering, and efficient algorithms are critical as dataset sizes continue to grow…
math.NA2015★ 45 cited
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
Dejiao Zhang, Laura Balzano
It has been observed in a variety of contexts that gradient descent methods have great success in solving low-rank matrix factorization problems, despite the relevant problem formu…