Potential Conditional Mutual Information: Estimators, Properties and Applications

13 Oct 2017 Arman Rahimzamani Sreeram Kannan

The conditional mutual information I(X;Y|Z) measures the average information that X and Y contain about each other given Z. This is an important primitive in many learning problems including conditional independence testing, graphical model inference, causal strength estimation and time-series problems... (read more)

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