Sliced Wasserstein
PulseAugur coverage of Sliced Wasserstein — every cluster mentioning Sliced Wasserstein across labs, papers, and developer communities, ranked by signal.
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New SPLICE algorithm offers dimension-independent DP synthetic data
Researchers have developed a new differentially private synthetic data algorithm called SPLICE, which offers strong global distributional guarantees even in high-dimensional datasets. The algorithm measures noisy sliced…
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New method generates differentially private synthetic data using moment matching
Researchers have developed a new method for generating differentially private synthetic data using generalized moment matching. This technique estimates moments privately, fits a probability measure, and then samples sy…
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New research details convergence rates for sliced optimal transport
A new paper on arXiv details convergence rates for distribution matching using sliced optimal transport. The research establishes quantitative non-asymptotic rates by deriving Lojasiewicz-type inequalities for the Slice…
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New Sliced-Wasserstein framework improves EEG decoding accuracy
Researchers have developed a new framework called Pullback Euclidean Metric Sliced Wasserstein (PEMSW) for analyzing electroencephalography (EEG) data. This framework utilizes correlation matrices, which are more robust…