Projection Robust Wasserstein Distance and Riemannian Optimization
–Neural Information Processing Systems
Projection robust Wasserstein (PRW) distance, or Wasserstein projection pursuit (WPP), is a robust variant of the Wasserstein distance. Recent work suggests that this quantity is more robust than the standard Wasserstein distance, in particular when comparing probability measures in high-dimensions. However, it is ruled out for practical application because the optimization model is essentially non-convex and non-smooth which makes the computation intractable.
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Neural Information Processing Systems
Dec-24-2025, 03:41:31 GMT