141 citations · 1.7k across the 117 of their papers we have counts for
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stat.ML2020★ 1 cited
Reconstructing Sparse Signals via Greedy Monte-Carlo Search
Kao Hayashi, Tomoyuki Obuchi, Yoshiyuki Kabashima
We propose a Monte-Carlo-based method for reconstructing sparse signals in the formulation of sparse linear regression in a high-dimensional setting. The basic idea of this algorit…
stat.ML2020★ 3 cited
Semi-analytic approximate stability selection for correlated data in generalized linear models
Takashi Takahashi, Yoshiyuki Kabashima
We consider the variable selection problem of generalized linear models (GLMs). Stability selection (SS) is a promising method proposed for solving this problem. Although SS provid…