34 citations · 41 across the 5 of their papers we have counts for
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stat.ML2021★ 2 cited
On the Self-Penalization Phenomenon in Feature Selection
Michael I. Jordan, Keli Liu, Feng Ruan
We describe an implicit sparsity-inducing mechanism based on minimization over a family of kernels: \begin{equation*} \min_{β, f}~\widehat{\mathbb{E}}[L(Y, f(β^{1/q} \odot X)] + λ_…
math.ST2021★ 3 cited
Taming Nonconvexity in Kernel Feature Selection -- Favorable Properties of the Laplace Kernel
Feng Ruan, Keli Liu, Michael I. Jordan
Kernel-based feature selection is an important tool in nonparametric statistics. Despite many practical applications of kernel-based feature selection, there is little statistical…