Structure Learning with Continuous Optimization: A Sober Look and Beyond.
Ignavier NgBiwei HuangKun ZhangPublished in: CLeaR (2024)
Keyphrases
- structure learning
- continuous optimization
- bayesian networks
- graphical models
- optimization methods
- conditional independence
- simulated annealing
- metaheuristic
- parameter estimation
- linear models
- markov logic networks
- optimization strategy
- transfer learning
- network structure
- markov networks
- sample size
- belief propagation
- random variables
- neural network
- maximum likelihood estimation
- data sets
- machine learning