Hugo Lavenant

Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity

Random probabilities are a key component to many nonparametric methods in Statistics and Machine Learning. To quantify comparisons between different laws of random probabilities several works are starting to use the elegant Wasserstein over Wasserstein distance. In this paper we prove that the infin…