3k citations · 24.2k across the 299 of their papers we have counts for
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cs.LG2011★ 264 cited
Revisiting k-means: New Algorithms via Bayesian Nonparametrics
Brian Kulis, Michael I. Jordan
Bayesian models offer great flexibility for clustering applications---Bayesian nonparametrics can be used for modeling infinite mixtures, and hierarchical Bayesian models can be ut…
cs.LG2011★ 14 cited
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
If learning methods are to scale to the massive sizes of modern datasets, it is essential for the field of machine learning to embrace parallel and distributed computing. Inspired…