Information-Theoretic Bounds for Integral Estimation.
Donald Q. AdamsAdarsh BarikJean HonorioPublished in: ISIT (2021)
Keyphrases
- information theoretic
- information theory
- mutual information
- theoretic framework
- information bottleneck
- information theoretic measures
- jensen shannon divergence
- upper bound
- kl divergence
- multi modality
- image registration
- pattern recognition
- minimum description length
- kullback leibler divergence
- relative entropy
- data mining
- semi parametric
- computational learning theory
- density estimation
- entropy measure
- probability density function
- markov random field
- machine learning