Robust Large-Scale Machine Learning in the Cloud
KDD, pp. 1125-1134, 2016.
The convergence behavior of many distributed machine learning (ML) algorithms can be sensitive to the number of machines being used or to changes in the computing environment. As a result, scaling to a large number of machines can be challenging. In this paper, we describe a new scalable coordinate descent (SCD) algorithm for generalized ...More
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