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Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Optimal transport is an important tool in machine learning, allowing to capture geometric properties of the data through a linear program on transport polytopes.
Stochastic Optimization for Regularized Wasserstein Estimators
We show that this algorithm can be extended to other tasks, including estimation of Wasserstein barycenters.
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