A Jensen-Shannon Divergence Based Loss Function for Bayesian Neural Networks.
Ponkrshnan ThiagarajanSusanta GhoshPublished in: CoRR (2022)
Keyphrases
- loss function
- jensen shannon divergence
- neural network
- information theory
- information theoretic
- feature selection
- pairwise
- support vector
- jensen shannon
- mutual information
- logistic regression
- learning to rank
- pattern recognition
- boosting framework
- risk minimization
- empirical risk
- selection criterion
- bayesian networks
- reproducing kernel hilbert space
- convex loss functions
- learning models
- solution path
- maximum likelihood
- image processing
- boosting algorithms
- posterior probability
- multi class