Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data.
Zongyu DaiZhiqi BuQi LongPublished in: CoRR (2022)
Keyphrases
- gaussian process
- incomplete data
- multiple imputation
- hyperparameters
- high dimensional
- neural network
- missing data
- gaussian processes
- missing values
- em algorithm
- bayesian networks
- statistical databases
- posterior distribution
- approximate inference
- low dimensional
- high dimensional data
- regression model
- bayesian methods
- artificial neural networks
- gaussian process models
- pattern recognition
- dimensionality reduction
- bayesian framework
- latent variables
- semi supervised
- model selection
- data points
- parameter space
- variational inference
- nearest neighbor
- learning algorithm
- closed form
- image data
- data sets