Bayesian Networks

Knowledge Intensive Learning of Credal Networks UAI 2024 LIMID Quality Control Models for Increasing Failure Rate Processes PGM 2024 Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks JMLR 2023 A Transformational Characterization of Unconditionally Equivalent Bayesian Networks PGM 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Highly Efficient Structural Learning of Sparse Staged Trees PGM 2022 Integrating Bayesian network classifiers to deal with the partial label ranking problem PGM 2022 Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Learning Noisy-Or Networks with an Application in Linguistics PGM 2022 Online Updating of Conditional Linear Gaussian Bayesian Networks PGM 2022 On the rank of 2×2×2 probability tables PGM 2022 Relevance for Robust Bayesian Network MAP-Explanations PGM 2022 Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022 Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers PGM 2022 The Dual PC Algorithm for Structure Learning PGM 2022 Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets PGM 2022 Learning Fast-Inference Bayesian Networks NeurIPS 2021 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time ICLR 2021 aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python PGM 2020 Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020 Approximating bounded tree-width Bayesian network classifiers with OBDD PGM 2020 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations PGM 2020 A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital PGM 2020 BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks PGM 2020