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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.LG2023
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies
Oscar Skean, Jhoan Keider Hoyos Osorio, Austin J. Brockmeier +1
We introduce an information-theoretic quantity with similar properties to mutual information that can be estimated from data without making explicit assumptions on the underlying d…