This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform variable selection. Nevertheless, these procedures are inefficient or computationally expensive in high dimension. Also, the lasso technique has been adapted to additive models, however its experimental performance has n...