Entropy measures quantify the amount of information and correlations pre...
f-divergences, which quantify discrepancy between probability
distributi...
Statistical divergences (SDs), which quantify the dissimilarity between
...
Statistical distances (SDs), which quantify the dissimilarity between
pr...
Bringing the success of modern machine learning (ML) techniques to mobil...
In many information-theoretic communication problems, adding an input co...
A distributed binary hypothesis testing (HT) problem over a noisy channe...
A distributed hypothesis testing problem with two parties, one referred ...
A distributed binary hypothesis testing problem involving two parties, a...
A distributed binary hypothesis testing problem is studied in which mult...
A distributed binary hypothesis testing problem is studied in which mult...