Generalized Concomitant Multi-Task Lasso for sparse multimodal regression

In high dimension, it is customary to consider Lasso-type estimators to enforce sparsity. For standard Lasso theory to hold, the regularization parameter should be proportional to the noise level, yet the latter is generally unknown in practice... (read more)

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