185 citations · 295 across the 17 of their papers we have counts for
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math.OC2018★ 1 cited
Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability
Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
In statistical machine learning, kernel methods allow to consider infinite dimensional feature spaces with a computational cost that only depends on the number of observations. Thi…
math.OC2018★ 2 cited
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…