10 citations · 34 across the 12 of their papers we have counts for
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math.ST2016★ 2 cited
Improved Rademacher symmetrization through a Wasserstein based measure of asymmetry
Adam B Kashlak
We propose of an improved version of the ubiquitous symmetrization inequality making use of the Wasserstein distance between a measure and its reflection in order to quantify the s…
stat.ME2016★ 9 cited
Inference on covariance operators via concentration inequalities: k-sample tests, classification, and clustering via Rademacher complexities
Adam B. Kashlak, John A. D. Aston, Richard Nickl
We propose a novel approach to the analysis of covariance operators making use of concentration inequalities. First, non-asymptotic confidence sets are constructed for such operato…