Optimal Transport for Structure Learning Under Missing Data.
Vy VoHe ZhaoTrung LeEdwin V. BonillaDinh Q. PhungPublished in: CoRR (2024)
Keyphrases
- missing data
- structure learning
- bayesian networks
- graphical models
- incomplete data
- missing values
- conditional independence
- markov logic networks
- optimal solution
- dynamic programming
- transfer learning
- multiple imputation
- markov networks
- parameter estimation
- network structure
- sample size
- random variables
- computer vision
- data sets
- belief propagation
- approximate inference
- em algorithm