On the Convergence of Continuous Constrained Optimization for Structure Learning.
Ignavier NgSébastien LachapelleNan Rosemary KeSimon Lacoste-JulienKun ZhangPublished in: AISTATS (2022)
Keyphrases
- constrained optimization
- structure learning
- continuous variables
- graphical models
- bayesian networks
- stationary points
- conditional independence
- markov logic networks
- objective function
- parameter estimation
- convergence rate
- transfer learning
- sample size
- markov networks
- penalty function
- network structure
- convergence speed
- maximum likelihood estimation
- probabilistic model
- training data