Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection.
Kush BhatiaNikki Lijing KuangYi-An MaYixin WangPublished in: CoRR (2022)
Keyphrases
- model selection
- variational inference
- gaussian process
- mixture model
- hyperparameters
- posterior distribution
- cross validation
- parameter estimation
- bayesian inference
- approximate inference
- regression model
- machine learning
- sample size
- statistical models
- variational methods
- exponential family
- probabilistic model
- generalization error
- statistical learning
- unsupervised learning
- latent dirichlet allocation
- gaussian mixture model
- topic models
- motion segmentation
- feature selection
- closed form
- bayesian framework
- probabilistic graphical models
- information theoretic
- density estimation
- statistical methods
- support vector
- exact inference
- data mining