2.1k citations · 4.3k across the 48 of their papers we have counts for
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stat.CO2014★ 33 cited
An implementation of a randomized algorithm for principal component analysis
Arthur Szlam, Yuval Kluger, Mark Tygert
Recent years have witnessed intense development of randomized methods for low-rank approximation. These methods target principal component analysis (PCA) and the calculation of tru…
stat.ML2014★ 28 cited
Estimating the Accuracies of Multiple Classifiers Without Labeled Data
Ariel Jaffe, Boaz Nadler, Yuval Kluger
In various situations one is given only the predictions of multiple classifiers over a large unlabeled test data. This scenario raises the following questions: Without any labeled…