5 citations · 12 across the 4 of their papers we have counts for
4 papers
Importance Sparsification for Sinkhorn Algorithm
Mengyu Li, Jun Yu, Tao Li +1
Sinkhorn algorithm has been used pervasively to approximate the solution to optimal transport (OT) and unbalanced optimal transport (UOT) problems. However, its practical applicati…
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-…
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…
Modern Subsampling Methods for Large-Scale Least Squares Regression
Tao Li, Cheng Meng
Subsampling methods aim to select a subsample as a surrogate for the observed sample. As a powerful technique for large-scale data analysis, various subsampling methods are develop…