450 citations · 1.2k across the 59 of their papers we have counts for
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stat.ML2020★ 4 cited
Feature Robust Optimal Transport for High-dimensional Data
Mathis Petrovich, Chao Liang, Ryoma Sato +6
Optimal transport is a machine learning problem with applications including distribution comparison, feature selection, and generative adversarial networks. In this paper, we propo…
stat.ML2020★ 10 cited
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces
Ryoma Sato, Marco Cuturi, Makoto Yamada +1
Comparing two probability measures supported on heterogeneous spaces is an increasingly important problem in machine learning. Such problems arise when comparing for instance two p…