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Found 2 papers, 2 papers with code
Hybrid safe-strong rules for efficient optimization in lasso-type problems
However, with the ultrahigh-dimensional, large-scale data sets now collected in many real-world applications, it is important to develop algorithms to solve the lasso that efficiently scale up to problems of this size.
The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
Penalized regression models such as the lasso have been extensively applied to analyzing high-dimensional data sets.
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