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Dimension-free Convergence Rate in Sliced Wasserstein Distance for Empirical Measures of Markov Processes
To derive dimension-free convergence rates of empirical measures for Markov processes on a Banach space, we adopt the sliced Wasserstein distance (SW distance) induced by a probability measure with full support on the unit ball in the dual space. This distance refers to the convergence in finite dim
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