79 citations · 149 across the 9 of their papers we have counts for
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stat.ML2012★ 39 cited
Feature Clustering for Accelerating Parallel Coordinate Descent
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar +1
Large-scale L1-regularized loss minimization problems arise in high-dimensional applications such as compressed sensing and high-dimensional supervised learning, including classifi…
cs.LG2012★ 17 cited
Scaling Up Coordinate Descent Algorithms for Large Regularization Problems
Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari +1
We present a generic framework for parallel coordinate descent (CD) algorithms that includes, as special cases, the original sequential algorithms Cyclic CD and Stochastic CD, as w…