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Research map / Learning theory and algorithms / Optimal transport

Tree-Sliced Variants of Wasserstein Distances

NeurIPS 2019 · Learning theory and algorithms › Optimal transport · approach: Sliced Wasserstein variants · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the tree-sliced Wasserstein kernel instead of the baseline kernelsDocument classification and topological data analysis · Word embedding-based document classification; TDA benchmarksSVM performanceMixed
Use the tree-sliced Wasserstein kernel instead of the OT kernelTree-sliced Wasserstein kernel · CLASSICkernel computation timeHelped
Increase the number of tree slices (ablation)Tree-sliced Wasserstein kernel · TWITTERSVM performanceHelped
Increase the number of tree slices (ablation)Tree-sliced Wasserstein distance · MPEG7 and OrbitW2 near-neighbor rankHelped

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