Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data.
Zongyu DaiZhiqi BuQi LongPublished in: ACML (2022)
Keyphrases
- gaussian process
- incomplete data
- multiple imputation
- hyperparameters
- neural network
- high dimensional
- missing data
- gaussian processes
- em algorithm
- missing values
- statistical databases
- bayesian networks
- artificial neural networks
- approximate inference
- posterior distribution
- semi supervised
- low dimensional
- high dimensional data
- regression model
- bayesian methods
- data points
- pattern recognition
- bayesian framework
- model selection
- parameter space
- dimensionality reduction
- feature space
- expectation maximization
- nearest neighbor
- variational inference
- gaussian process models
- training data
- maximum a posteriori
- logistic regression
- pairwise
- graphical models
- knn
- nearest neighbour