7 citations · 7 across the 1 of their papers we have counts for
2 papers
stat.ML2021★ 7 cited
abess: A Fast Best Subset Selection Library in Python and R
Jin Zhu, Xueqin Wang, Liyuan Hu +5
We introduce a new library named abess that implements a unified framework of best-subset selection for solving diverse machine learning problems, e.g., linear regression, classifi…
cs.LG2021
A Splicing Approach to Best Subset of Groups Selection
Yanhang Zhang, Junxian Zhu, Jin Zhu +1
Best subset of groups selection (BSGS) is the process of selecting a small part of non-overlapping groups to achieve the best interpretability on the response variable. It has attr…