88 citations · 197 across the 18 of their papers we have counts for
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3 papers · 1 filter
cs.LG2020★ 2 cited
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu, Dixin Luo, Lawrence Carin +1
We propose a novel and principled method to learn a nonparametric graph model called graphon, which is defined in an infinite-dimensional space and represents arbitrary-size graphs…
cs.LG2020★ 4 cited
Hierarchical Optimal Transport for Robust Multi-View Learning
Dixin Luo, Hongteng Xu, Lawrence Carin
Traditional multi-view learning methods often rely on two assumptions: () the samples in different views are well-aligned, and () their representations in latent space obey…
cs.LG2020★ 17 cited
Learning Autoencoders with Relational Regularization
Hongteng Xu, Dixin Luo, Ricardo Henao +2
A new algorithmic framework is proposed for learning autoencoders of data distributions. We minimize the discrepancy between the model and target distributions, with a \emph{relati…