Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
On Model Selection Consistency of Lasso
The Journal of Machine Learning Research
Elastic-net regularization in learning theory
Journal of Complexity
Adaptive Kernel Methods Using the Balancing Principle
Foundations of Computational Mathematics
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In the framework of supervised learning, we prove that the iterative algorithm introduced in Umanita and Villa (2010) [22] allows us to estimate in a consistent way the relevant features of the regression function under the a priori assumption that it admits a sparse representation on a fixed dictionary.