S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
arXiv:2604.19072v1 Announce Type: new
Abstract: Semi-supervised learning with manifold regularization is a classical framework for jointly learning from both labeled and unlabeled data, where the key requirement is that the support of the unknown marg…