18 citations · 33 across the 3 of their papers we have counts for
3 papers
Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism
Nataliya Sokolovska, Pierre-Henri Wuillemin
Causal inference methods based on conditional independence construct Markov equivalent graphs, and cannot be applied to bivariate cases. The approaches based on independence of cau…
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example
Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen +1
When using Bayesian networks for modelling the behavior of man-made machinery, it usually happens that a large part of the model is deterministic. For such Bayesian networks determ…
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
SDYNA is a general framework designed to address large stochastic reinforcement learning problems. Unlike previous model based methods in FMDPs, it incrementally learns the structu…