17 citations · 28 across the 7 of their papers we have counts for
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math.OC2021★ 8 cited
On Asymptotic Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion
Trung Vu, Evgenia Chunikhina, Raviv Raich
Iterative hard thresholding (IHT) has gained in popularity over the past decades in large-scale optimization. However, convergence properties of this method have only been explored…
math.OC2021★ 17 cited
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares
Trung Vu, Raviv Raich
Many recent problems in signal processing and machine learning such as compressed sensing, image restoration, matrix/tensor recovery, and non-negative matrix factorization can be c…
math.OC2021
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent
Trung Vu, Raviv Raich
Factorization-based gradient descent is a scalable and efficient algorithm for solving low-rank matrix completion. Recent progress in structured non-convex optimization has offered…