Soft Dropout And Its Variational Bayes Approximation.
Jiyang XieZhanyu MaGuoqiang ZhangJing-Hao XueZheng-Hua TanJun GuoPublished in: MLSP (2019)
Keyphrases
- variational bayes
- free energy
- expectation propagation
- hyperparameters
- latent variables
- bayesian learning
- bayesian inference
- maximum likelihood estimator
- closed form
- gaussian mixture model
- posterior distribution
- latent dirichlet allocation
- model selection
- approximation methods
- log likelihood
- exponential family
- approximate inference
- mixture model
- worst case
- higher order
- maximum likelihood
- bayesian framework
- expectation maximization
- denoising
- least squares
- probabilistic model
- active learning