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stat.ME2024
Safe subspace screening for the adaptive nuclear norm regularized trace regression
Pan Shang, Lingchen Kong
Matrix form data sets arise in many areas, so there are lots of works about the matrix regression models. One special model of these models is the adaptive nuclear norm regularized…
stat.ME2020
l1-norm quantile regression screening rule via the dual circumscribed sphere
Pan Shang, Lingchen Kong
l1-norm quantile regression is a common choice if there exists outlier or heavy-tailed error in high-dimensional data sets. However, it is computationally expensive to solve this p…