New convergence proofs for stochastic fixed-point iterations in unsupervised ground metric learning, with extensions to Mahalanobis and graph Laplacian distances.
Unsupervised Ground Met- ric Learning Using Wasserstein Singular Vectors
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Unsupervised Ground Metric Learning
New convergence proofs for stochastic fixed-point iterations in unsupervised ground metric learning, with extensions to Mahalanobis and graph Laplacian distances.