A Variational Characterization of $H$-Mutual Information and its Application to Computing $H$-Capacity

التفاصيل البيبلوغرافية
العنوان: A Variational Characterization of $H$-Mutual Information and its Application to Computing $H$-Capacity
المؤلفون: Kamatsuka, Akira, Kazama, Koki, Yoshida, Takahiro
سنة النشر: 2024
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Information Theory
الوصف: $H$-mutual information ($H$-MI) is a wide class of information leakage measures, where $H=(\eta, F)$ is a pair of monotonically increasing function $\eta$ and a concave function $F$, which is a generalization of Shannon entropy. $H$-MI is defined as the difference between the generalized entropy $H$ and its conditional version, including Shannon mutual information (MI), Arimoto MI of order $\alpha$, $g$-leakage, and expected value of sample information. This study presents a variational characterization of $H$-MI via statistical decision theory. Based on the characterization, we propose an alternating optimization algorithm for computing $H$-capacity.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2406.14304
رقم الأكسشن: edsarx.2406.14304
قاعدة البيانات: arXiv