Posterior Consistency for Missing Data in Variational Autoencoders.
Timur SudakSebastian TschiatschekPublished in: CoRR (2023)
Keyphrases
- missing data
- dirichlet process mixture models
- missing values
- low rank
- motion segmentation
- structure from motion
- incomplete data
- probability distribution
- denoising
- imprecise data
- posterior distribution
- matrix factorization
- bayesian framework
- optical flow
- probabilistic model
- image segmentation
- maximum likelihood
- least squares
- gaussian process
- multiple imputation
- automatic relevance determination
- data imputation