So basically feature-selection type of models. Regularization is usually a good idea, and these are well worth doing, and can occasionally show some surprising weight / nonweight on some features, but beware of just running a model to tell you “unrelated thing is unrelated”.
If you want to be semiparametric, try BART as well.