10 citations · 12 across the 4 of their papers we have counts for
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stat.ME2020★ 1 cited
-Ridge: group regularized ridge regression via empirical Bayes noise level cross-validation
Nikolaos Ignatiadis, Panagiotis Lolas
Features in predictive models are not exchangeable, yet common supervised models treat them as such. Here we study ridge regression when the analyst can partition the features into…
math.ST2020★ 10 cited
Regularization in High-Dimensional Regression and Classification via Random Matrix Theory
Panagiotis Lolas
We study general singular value shrinkage estimators in high-dimensional regression and classification, when the number of features and the sample size both grow proportionally to…