Mutual Regression Distance is a new pseudometric between sample sets based on mutual linear regression, with simplified variants and empirical gains in clustering, GANs, and domain adaptation.
Controlling wasserstein distances by kernel norms with application to compressive statistical learning
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Mutual Regression Distance
Mutual Regression Distance is a new pseudometric between sample sets based on mutual linear regression, with simplified variants and empirical gains in clustering, GANs, and domain adaptation.