Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations.
Syrine BelakariaAryan DeshwalJanardhan Rao DoppaPublished in: CoRR (2020)
Keyphrases
- information theoretic
- multi objective
- optimization algorithm
- mutual information
- information theory
- multiple objectives
- minimum description length
- theoretic framework
- evolutionary algorithm
- multi objective optimization
- conflicting objectives
- information bottleneck
- optimum design
- kullback leibler divergence
- objective function
- optimization problems
- information theoretic measures
- relative entropy
- genetic algorithm
- multi modality
- log likelihood
- differential evolution
- nsga ii
- multi objective evolutionary algorithms
- optimization method
- entropy measure
- jensen shannon divergence
- bayesian inference
- kl divergence
- image segmentation
- medical images
- bregman divergences
- pattern recognition
- bayesian networks
- computer vision
- neural network