The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.
Jakub SwiatkowskiKevin RothBastiaan S. VeelingLinh TranJoshua V. DillonStephan MandtJasper SnoekTim SalimansRodolphe JenattonSebastian NowozinPublished in: CoRR (2020)
Keyphrases
- normal distribution
- posterior distribution
- probability distribution
- neural network
- bayesian inference
- gaussian distribution
- random variables
- mixture distribution
- posterior probability
- probability density function
- latent variables
- markov networks
- free energy
- standard deviation
- pattern recognition
- markov chain monte carlo
- covariance matrix
- maximum likelihood
- bayesian framework
- parameter estimation
- bayesian networks
- conditional probabilities
- maximum a posteriori
- variational approximation
- utility function
- hyperparameters
- prior information
- belief networks
- gaussian mixture model
- expectation maximization
- graphical models
- semi supervised
- probabilistic model
- similarity measure