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Bayesian Networks

81 directly classified papers

Papers per year

Papers

Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025
Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024
The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education AAAI 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters AAAI 2024
Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models NIPS 2022
Independence Testing for Bounded Degree Bayesian Networks NIPS 2022
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics AAAI 2022
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NIPS 2021
Learning Fast-Inference Bayesian Networks NIPS 2021
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings AAAI 2021
Learning the Parameters of Bayesian Networks from Uncertain Data AAAI 2021
Improving Causal Discovery By Optimal Bayesian Network Learning AAAI 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases NIPS 2021
Robustness of Bayesian Neural Networks to Gradient-Based Attacks NIPS 2020
Label Error Correction and Generation through Label Relationships AAAI 2020
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs ACL 2020