31 citations · 66 across the 8 of their papers we have counts for
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stat.ML2014★ 9 cited
Screening Rules for Overlapping Group Lasso
Seunghak Lee, Eric P. Xing
Recently, to solve large-scale lasso and group lasso problems, screening rules have been developed, the goal of which is to reduce the problem size by efficiently discarding zero c…
stat.ML2014★ 15 cited
Primitives for Dynamic Big Model Parallelism
Seunghak Lee, Jin Kyu Kim, Xun Zheng +3
When training large machine learning models with many variables or parameters, a single machine is often inadequate since the model may be too large to fit in memory, while trainin…