184 citations · 577 across the 31 of their papers we have counts for
Showing 2018 · stat.MLShow all
2 papers · 2 filters
stat.ML2018
Convex Hull Approximation of Nearly Optimal Lasso Solutions
Satoshi Hara, Takanori Maehara
In an ordinary feature selection procedure, a set of important features is obtained by solving an optimization problem such as the Lasso regression problem, and we expect that the…
stat.ML2018★ 6 cited
Maximally Invariant Data Perturbation as Explanation
Satoshi Hara, Kouichi Ikeno, Tasuku Soma +1
While several feature scoring methods are proposed to explain the output of complex machine learning models, most of them lack formal mathematical definitions. In this study, we pr…