The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares.

Laming Chen Yuantao Gu

Published in: ICASSP (2014)

Keyphrases

regularized least squares
newton method
globally convergent
sparse representation
total least squares
reproducing kernel hilbert space
convex optimization
regularization term
data sets
support vector regression
convergence analysis
signal processing
cross validation
global convergence