Improving High-Dimensional Two-Sample Testing via Projected Wasserstein Distance

The authors develop a projected Wasserstein distance to circumvent the curse of dimensionality in high-dimensional two-sample testing, and provide theoretical guarantees for the finite-sample convergence rate of the proposed distance.