Quasi-Monte Carlo Quasi-Newton in Variational Bayes.
Sifan LiuArt B. OwenPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- variational bayes
- quasi newton
- latent variables
- bayesian inference
- hyperparameters
- gaussian mixture model
- step size
- optimization method
- posterior distribution
- optimization procedure
- prior information
- cross validation
- model selection
- neural network
- mixture model
- prior knowledge
- sparse representation
- random variables
- monte carlo
- expectation maximization
- optimal solution