Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models.
Irene BalelliAude SportisseFrancesco CremonesiPierre-Alexandre MatteiMarco LorenziPublished in: CoRR (2023)
Keyphrases
- incomplete data
- generative model
- missing values
- em algorithm
- missing data
- multiple imputation
- probabilistic model
- expectation maximization
- deep belief networks
- mixture model
- discriminative learning
- bayesian networks
- bayesian framework
- incomplete data sets
- hidden variables
- semi supervised
- latent dirichlet allocation
- discriminative models
- prior knowledge
- machine learning
- topic models
- hierarchical hidden markov models
- generative and discriminative models
- conditional random fields
- imputation methods
- deep learning
- maximum likelihood
- data points
- feature selection
- computer vision