Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective.
Ruixiang ZhangMasanori KoyamaKatsuhiko IshiguroPublished in: ICML (2020)
Keyphrases
- information theoretic
- generative model
- data sets
- prior knowledge
- probabilistic model
- learning algorithm
- learned models
- mutual information
- latent factors
- statistical analysis
- training data
- learning process
- active learning
- bayesian framework
- data points
- probability distribution
- maximum likelihood
- em algorithm
- missing data
- statistical methods
- original data
- spectral clustering
- clustering algorithm
- computer vision