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Ritwik Sadhu

1 accepted papers

2022

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances

NeurIPS 2022accept

Sliced Wasserstein distances preserve properties of classic Wasserstein distances while being more scalable for computation and estimation in high dimensions. The goal of this work is to quantify this scalability from three key aspects: (i) empirical convergence rates; (ii) robustness to data contam…