35 citations · 176 across the 22 of their papers we have counts for
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stat.ML2016★ 32 cited
Sparse principal component regression for generalized linear models
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada +1
Principal component regression (PCR) is a widely used two-stage procedure: principal component analysis (PCA), followed by regression in which the selected principal components are…
stat.ME2016★ 32 cited
Robust and Sparse Regression via -divergence
Takayuki Kawashima, Hironori Fujisawa
In high-dimensional data, many sparse regression methods have been proposed. However, they may not be robust against outliers. Recently, the use of density power weight has been st…