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REPORTS > AUTHORS > JAN SEYFRIED:
All reports by Author Jan Seyfried:

TR25-076 | 14th June 2025
Jan Seyfried, Sayantan Sen, Marco Tomamichel

Testing (Conditional) Mutual Information

We investigate the sample complexity of mutual information and conditional mutual information testing. For conditional mutual information testing, given access to independent samples of a triple of random variables $(A, B, C)$ with unknown distribution, we want to distinguish between two cases: (i) $A$ and $C$ are conditionally independent, i.e., ... more >>>




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