Variational Bayesian Dropout With a Hierarchical Prior.
Yuhang LiuWenyong DongLei ZhangDong GongQinfeng ShiPublished in: CVPR (2019)
Keyphrases
- variational bayesian
- dirichlet process
- bayesian methods
- factor analysis
- exponential family
- mixture model
- multi task learning
- matrix factorization
- gaussian processes
- bayesian model
- expectation maximization
- incomplete data
- machine learning
- prior knowledge
- markov chain monte carlo
- variational inference
- statistical models
- missing values
- bayesian framework
- sampling algorithm
- learning algorithm