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Vertical Sliced Wasserstein Distances for Meta-Measures
Many modern learning problems require comparing probability distributions whose individual observations are themselves probability measures, naturally giving rise to meta-measures in $\mathcal{P}(\mathcal{P}(Ω))$. However, optimal transport distances on this space can be prohibitively expensive to e
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