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cs.LG2022
The Impact of Variable Ordering on Bayesian Network Structure Learning
Neville K Kitson, Anthony C Constantinou
Causal Bayesian Networks provide an important tool for reasoning under uncertainty with potential application to many complex causal systems. Structure learning algorithms that can…
cs.LG2022★ 1 cited
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
Kiattikun Chobtham, Anthony C. Constantinou
Discovering and parameterising latent confounders represent important and challenging problems in causal structure learning and density estimation respectively. In this paper, we f…
cs.LG2022
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning
Zhigao Guo, Anthony C. Constantinou
Score-based algorithms that learn the structure of Bayesian networks can be used for both exact and approximate solutions. While approximate learning scales better with the number…