Orthogonal Estimation of Wasserstein Distances
international conference on artificial intelligence and statistics, 2019.
Wasserstein distances are increasingly used in a wide variety of applications in machine learning. Sliced Wasserstein distances form an important subclass which may be estimated eﬃciently through one-dimensional sorting operations. In this paper, we propose a new variant of sliced Wasserstein distance, study the use of orthogonal coupling...More
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