Kernel Embeddings and the Separation of Measure Phenomenon
arXiv:2505.04613v4 Announce Type: replace
Abstract: We prove that kernel covariance embeddings lead to information-theoretically perfect separation of distinct continuous probability distributions. In statistical terms, we establish that testing for t…