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cs.LG2016
Communication-Efficient Parallel Block Minimization for Kernel Machines
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
Kernel machines often yield superior predictive performance on various tasks; however, they suffer from severe computational challenges. In this paper, we show how to overcome the…
stat.ML2016★ 8 cited
Kernel Ridge Regression via Partitioning
Rashish Tandon, Si Si, Pradeep Ravikumar +1
In this paper, we investigate a divide and conquer approach to Kernel Ridge Regression (KRR). Given n samples, the division step involves separating the points based on some underl…