University of Michigan
Our shared work concerned reasoning and learning when information is incomplete or uncertain. The linked publications developed these topics through research models, methods and evaluations.
Papers and technical reports
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
2022 · 2022 25th International Conference on Information Fusion, FUSION 2022
Uncertain Bayesian Networks: Learning from Incomplete Data
2021 · IEEE International Workshop on Machine Learning for Signal Processing, MLSP