19 citations · 94 across the 16 of their papers we have counts for
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stat.ML2016★ 15 cited
On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets
Darren Homrighausen, Daniel J. McDonald
In this paper we analyze approximate methods for undertaking a principal components analysis (PCA) on large data sets. PCA is a classical dimension reduction method that involves t…
stat.ME2016★ 8 cited
A study on tuning parameter selection for the high-dimensional lasso
Darren Homrighausen, Daniel J. McDonald
High-dimensional predictive models, those with more measurements than observations, require regularization to be well defined, perform well empirically, and possess theoretical gua…