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On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems.
Dan Garber
Published in:
CoRR (2019)
Keyphrases
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low rank
trace norm
matrix completion
high dimensional data
matrix factorization
dimensionality reduction
linear combination
optimization methods
feature selection
image processing
high dimensional
missing data
convergence rate
convex optimization
global convergence