961 citations · 1.4k across the 33 of their papers we have counts for
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cs.LG2016★ 4 cited
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan +2
Modern advanced analytics applications make use of machine learning techniques and contain multiple steps of domain-specific and general-purpose processing with high resource requi…
cs.LG2016★ 16 cited
Large Scale Kernel Learning using Block Coordinate Descent
Stephen Tu, Rebecca Roelofs, Shivaram Venkataraman +1
We demonstrate that distributed block coordinate descent can quickly solve kernel regression and classification problems with millions of data points. Armed with this capability, w…