Information-Theoretic and Algorithmic Thresholds for Group Testing.
Amin Coja-OghlanOliver GebhardMax Hahn-KlimrothPhilipp LoickPublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- information theoretic
- group testing
- information theory
- mutual information
- disjoint sets
- theoretic framework
- information theoretic measures
- information bottleneck
- multi modality
- kullback leibler divergence
- log likelihood
- jensen shannon divergence
- entropy measure
- minimum description length
- computational learning theory
- image classification
- support vector
- kl divergence
- bregman divergences
- relative entropy