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This paper deals with the trace regression model where $n$ entries or linear combinations of entries of an unknown $m_1\times m_2$ matrix $A_0$ corrupted by noise are observed.
Applied Nonlinear Analysis
1984
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Characterization of the subdifferential of some matrix norms
1992
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A Spectral Regularization Framework for Multi-Task Structure Learning
2007
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Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
2007
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Convex multi-task feature learning
2008
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Consistency of trace norm minimization
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User-friendly tail bounds for sums of random matrices
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