39 citations · 200 across the 57 of their papers we have counts for
3 papers · 1 filter
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…
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…
Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures
Umit Catalyurek, John Feo, Assefaw Gebremedhin +2
We explore the interplay between architectures and algorithm design in the context of shared-memory platforms and a specific graph problem of central importance in scientific and h…