Information-Theoretic Safe Bayesian Optimization.
Alessandro G. BotteroCarlos E. LuisJulia VinogradskaFelix BerkenkampJan PetersPublished in: CoRR (2024)
Keyphrases
- information theoretic
- information theory
- mutual information
- minimum description length
- theoretic framework
- jensen shannon divergence
- information bottleneck
- kl divergence
- bayesian networks
- information theoretic measures
- relative entropy
- computational learning theory
- multi modality
- kullback leibler divergence
- log likelihood
- entropy measure
- optimization algorithm
- posterior probability
- maximum likelihood
- distributional clustering
- jensen shannon
- posterior distribution
- multi class