Support vector machine (SVM) is a popular classifier known for accuracy,...
Subsampling methods aim to select a subsample as a surrogate for the obs...
Distribution comparison plays a central role in many machine learning ta...
As a valid metric of metric-measure spaces, Gromov-Wasserstein (GW) dist...
Smoothing splines have been used pervasively in nonparametric regression...
This paper studies the estimation of large-scale optimal transport maps
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Subsampling methods aim to select a subsample as a surrogate for the obs...
We consider a measurement constrained supervised learning problem, that ...
Sufficient dimension reduction is used pervasively as a supervised dimen...
We consider the problem of approximating smoothing spline estimators in ...