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Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
The optimal transport (OT) map provides a geometric transformation for aligning probability distributions and has become a useful tool in machine learning. However, existing estimators of the OT map still exhibit a gap between sharp statistical guarantees and practical parametric estimation based on
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