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cs.IT2026
Sample complexity bounds for the Jensen-Shannon divergence
Oren Richter, Adi Ben-Ari, Tom Talpir +1
The Jensen-Shannon divergence (JSD) is a symmetric and bounded measure of the dissimilarity of two probability distributions, which has become a standard tool in statistics, inform…
cs.IT2021
Estimating the Unique Information of Continuous Variables
Ari Pakman, Amin Nejatbakhsh, Dar Gilboa +4
The integration and transfer of information from multiple sources to multiple targets is a core motive of neural systems. The emerging field of partial information decomposition (P…