Sharp bounds for the max-sliced Wasserstein distance

We obtain sharp upper and lower bounds for the expected max-sliced 1-Wasserstein distance between a probability measure on a separable Hilbert space and its empirical distribution from $n$ samples. A version of this result for probability measures on Banach spaces is also obtained.