Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks.
Irene CórdobaEduardo C. Garrido-MerchánDaniel Hernández-LobatoConcha BielzaPedro LarrañagaPublished in: CAEPIA (2018)
Keyphrases
- learning algorithm
- bayesian networks
- optimization algorithm
- reinforcement learning
- np hard
- stochastic gradient
- search space
- stochastic gradient descent
- worst case
- bayesian network structure
- bayesian methods
- optimization method
- detection algorithm
- optimal solution
- supervised learning
- probabilistic model
- inference in bayesian networks
- cost function
- prior knowledge
- junction tree
- posterior probability
- k means
- structure learning algorithm
- objective function
- evolutionary algorithm
- bayesian framework
- dynamic programming
- expectation maximization
- linear programming
- simulated annealing
- machine learning