2 papers
cs.LG2025
Information-theoretic Quantification of High-order Feature Effects in Classification Problems
Ivan Lazic, Chiara Barà, Marta Iovino +3
Understanding the contribution of individual features in predictive models remains a central goal in interpretable machine learning, and while many model-agnostic methods exist to…
physics.data-an2024
Partial information decomposition for mixed discrete and continuous random variables
Chiara Barà, Yuri Antonacci, Marta Iovino +2
The framework of Partial Information Decomposition (PID) unveils complex nonlinear interactions in network systems by dissecting the mutual information (MI) between a target variab…