5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
The Representation Jensen-Shannon Divergence
Jhoan K. Hoyos-Osorio, Luis G. Sanchez-Giraldo
Quantifying the difference between probability distributions is crucial in machine learning. However, estimating statistical divergences from empirical samples is challenging due t…
cs.LG2021
The Representation Jensen-Rényi Divergence
Jhoan Keider Hoyos Osorio, Oscar Skean, Austin J. Brockmeier +1
We introduce a divergence measure between data distributions based on operators in reproducing kernel Hilbert spaces defined by kernels. The empirical estimator of the divergence i…