On the Convergence of Continuous Constrained Optimization for Structure Learning.
Ignavier NgSébastien LachapelleNan Rosemary KeSimon Lacoste-JulienPublished in: CoRR (2020)
Keyphrases
- constrained optimization
- structure learning
- continuous variables
- bayesian networks
- graphical models
- stationary points
- conditional independence
- markov logic networks
- transfer learning
- objective function
- penalty function
- parameter estimation
- sample size
- network structure
- random variables
- markov networks
- global convergence
- continuous domains
- convergence rate
- markov random field
- maximum likelihood estimation
- model selection
- genetic algorithm