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stat.ML2013★ 14 cited
Nonparametric Reduced Rank Regression
Rina Foygel, Michael Horrell, Mathias Drton +1
We propose an approach to multivariate nonparametric regression that generalizes reduced rank regression for linear models. An additive model is estimated for each dimension of a $…
stat.ML2010★ 24 cited
Exact block-wise optimization in group lasso and sparse group lasso for linear regression
Rina Foygel, Mathias Drton
The group lasso is a penalized regression method, used in regression problems where the covariates are partitioned into groups to promote sparsity at the group level. Existing meth…