Bayesian Uncertainty Estimation for Batch Normalized Deep Networks.
Mattias TeyeHossein AzizpourKevin SmithPublished in: ICML (2018)
Keyphrases
- bayesian estimation
- decision theory
- dempster shafer
- social networks
- uncertain data
- estimation algorithm
- markov random field prior
- belief nets
- maximum likelihood
- robust estimation
- similarity measure
- estimation error
- network model
- network design
- quality of service
- machine learning
- batch learning
- bayesian networks
- network topologies
- robust optimization
- bayesian learning
- expected utility
- conditional probabilities
- belief functions
- complex networks
- community detection
- network analysis
- bayesian inference
- computer networks