A Fast Proximal Point Method for Computing Exact Wasserstein Distance
Wasserstein distance plays increasingly important roles in machine learning, stochastic programming and image processing. Major efforts have been under way to address its high computational complexity, some leading to approximate or regularized variations such as Sinkhorn distance. However, as we wi...
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Veröffentlicht in: | arXiv.org 2019-06 |
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Sprache: | eng |
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