13 citations · 33 across the 9 of their papers we have counts for
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cs.LG2022★ 3 cited
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…
cs.LG2022★ 1 cited
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,…
cs.LG2020★ 8 cited
Sufficient dimension reduction for classification using principal optimal transport direction
Cheng Meng, Jun Yu, Jingyi Zhang +2
Sufficient dimension reduction is used pervasively as a supervised dimension reduction approach. Most existing sufficient dimension reduction methods are developed for data with a…