Explaining Predictive Uncertainty with Information Theoretic Shapley Values.
David S. WatsonJoshua O'HaraNiek TaxRichard MuddIdo GuyPublished in: CoRR (2023)
Keyphrases
- information theoretic
- mutual information
- information theory
- theoretic framework
- log likelihood
- information bottleneck
- jensen shannon divergence
- kullback leibler divergence
- competitive learning
- minimum description length
- entropy measure
- multi modality
- information theoretic measures
- relative entropy
- computational learning theory
- machine learning
- conditional probabilities
- text mining