Mohamed Hebiri

most citedRegularization with the Smooth-Lasso procedure

19 citations · 19 across the 1 of their papers we have counts for

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math.ST2009★ 1 cited

Transductive versions of the LASSO and the Dantzig Selector

Pierre Alquier, Mohamed Hebiri

We consider the linear regression problem, where the number $p$ of covariates is possibly larger than the number $n$ of observations $(x_{i}, y_{i})_{i \leq i \leq n}$ , under sparsit…

math.ST2009

Sparse Conformal Predictors

Mohamed Hebiri

Conformal predictors, introduced by Vovk et al. (2005), serve to build prediction intervals by exploiting a notion of conformity of the new data point with previously observed data…

math.ST2008★ 19 cited

Regularization with the Smooth-Lasso procedure

Mohamed Hebiri

We consider the linear regression problem. We propose the S-Lasso procedure to estimate the unknown regression parameters. This estimator enjoys sparsity of the representation whil…