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Relative Wasserstein Angle and the Problem of the $W_2$-Nearest Gaussian Distribution
Understanding the distributional structure of high-dimensional datasets has become an important topic, yet direct visual characterization is difficult. In this work, we develop a geometric framework for characterizing the distributional structure of empirical datasets by quantifying their deviation
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