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cs.LG2026
S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
Xuelin Zhang, Hong Chen, Yingjie Wang +2
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 supp…
cs.LG2026
Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
Xuelin Zhang, Xinyue Liu, Lingjuan Wu +1
Sparse additive models have attracted much attention in high-dimensional data analysis due to their flexible representation and strong interpretability. However, most existing mode…