59 citations · 118 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 19 cited
Hybrid safe-strong rules for efficient optimization in lasso-type problems
Yaohui Zeng, Tianbao Yang, Patrick Breheny
The lasso model has been widely used for model selection in data mining, machine learning, and high-dimensional statistical analysis. However, with the ultrahigh-dimensional, large…
stat.CO2017★ 59 cited
The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
Yaohui Zeng, Patrick Breheny
Penalized regression models such as the lasso have been extensively applied to analyzing high-dimensional data sets. However, due to memory limitations, existing R packages like gl…
stat.ME2015★ 40 cited
Overlapping group logistic regression with applications to genetic pathway selection
Yaohui Zeng, Patrick Breheny
Discovering important genes that account for the phenotype of interest has long been challenging in genomewide expression analysis. Analyses such as Gene Set Enrichment Analysis (G…