Model Consistency for Learning with Mirror-Stratifiable Regularizers

Jalal Fadili, Guillaume Garrigos, Jérome Malick +1

Low-complexity non-smooth convex regularizers are routinely used to impose some structure (such as sparsity or low-rank) on the coefficients for linear predictors in supervised lea…