Learning Bayesian Networks with Low Rank Conditional Probability Tables.
Adarsh BarikJean HonorioPublished in: NeurIPS (2019)
Keyphrases
- low rank
- learning bayesian networks
- bayesian networks
- incomplete data
- missing data
- convex optimization
- structure learning
- matrix factorization
- conditional independence
- linear combination
- singular value decomposition
- high dimensional data
- missing values
- semi supervised
- graphical models
- statistical data
- high order
- conditional probabilities
- probabilistic model
- probability distribution
- probabilistic inference
- markov networks
- random variables
- data sets
- low dimensional
- higher order
- text mining
- feature extraction
- image processing
- least squares
- prior knowledge
- data mining