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Heterogeneous Wasserstein Discrepancy for Incomparable Distributions
[article]
2021
arXiv
pre-print
Optimal Transport (OT) metrics allow for defining discrepancies between two probability measures. Wasserstein distance is for longer the celebrated OT-distance frequently-used in the literature, which seeks probability distributions to be supported on the same metric space. Because of its high computational complexity, several approximate Wasserstein distances have been proposed based on entropy regularization or on slicing, and one-dimensional Wassserstein computation. In this paper, we
arXiv:2106.02542v2
fatcat:7znxswqvybdnniewpfssi5ay3m