52 citations · 74 across the 12 of their papers we have counts for
4 papers · 1 filter
Core-Elements for Large-Scale Least Squares Estimation
Mengyu Li, Jun Yu, Tao Li +1
The coresets approach, also called subsampling or subset selection, aims to select a subsample as a surrogate for the observed sample and has found extensive applications in large-…
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
Jingyi Zhang, Cheng Meng, Jun Yu +3
Subsampling methods aim to select a subsample as a surrogate for the observed sample. Such methods have been used pervasively in large-scale data analytics, active learning, and pr…
Hilbert Curve Projection Distance for Distribution Comparison
Tao Li, Cheng Meng, Hongteng Xu +1
Distribution comparison plays a central role in many machine learning tasks like data classification and generative modeling. In this study, we propose a novel metric, called Hilbe…
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Mengyu Li, Jun Yu, Hongteng Xu +1
As a valid metric of metric-measure spaces, Gromov-Wasserstein (GW) distance has shown the potential for matching problems of structured data like point clouds and graphs. However,…