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A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements.
Qinqing Zheng
John D. Lafferty
Published in:
CoRR (2015)
Keyphrases
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semidefinite programming
worst case
expectation maximization
objective function
k means
linear programming
learning algorithm
similarity measure
probabilistic model
rank minimization
dynamic programming
primal dual