4 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 4 cited
Finding Alternate Features in Lasso
Satoshi Hara, Takanori Maehara
We propose a method for finding alternate features missing in the Lasso optimal solution. In ordinary Lasso problem, one global optimum is obtained and the resulting features are i…
stat.ML2012★ 1 cited
Learning a Common Substructure of Multiple Graphical Gaussian Models
Satoshi Hara, Takashi Washio
Properties of data are frequently seen to vary depending on the sampled situations, which usually changes along a time evolution or owing to environmental effects. One way to analy…