conditional mutual information
Conditional mutual information measures the amount of information that one random variable contains about another, given the value of a third variable. It is often used in feature selection and understanding dependencies among variables in data.
- Enhancing Privacy in Multimodal Federated Learning with Information Theory
- On Group Sufficiency Under Label Bias
- ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
- Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
- Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization