Mutual Information Estimation via \(f\)-Divergence and Data Derangements

Estimating mutual information accurately is pivotal across diverse applications, from machine learning to communications and biology, enabling us to gain insights into the inner mechanisms of complex systems. Yet, dealing with high-dimensional data presents a formidable challenge, due to its size an...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Letizia, Nunzio A, Novello, Nicola, Tonello, Andrea M
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias Complex systems Complexity Estimators Lower bounds Machine learning Partitions (mathematics) Permutations
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!