probabilistic graphical model

Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability IJCAI 2022 Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation UAI 2022 Hedging as Reward Augmentation in Probabilistic Graphical Models NeurIPS 2022 Integrating Bayesian network classifiers to deal with the partial label ranking problem PGM 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022 Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract) IJCAI 2022 Relational Learning with Variational Bayes ICLR 2022 Structured Recognition for Generative Models with Explaining Away NeurIPS 2022 Toward Annotator Group Bias in Crowdsourcing ACL 2022 Approximate implication with d-separation UAI 2021 A Style and Semantic Memory Mechanism for Domain Generalization ICCV 2021 Auto-Parsing Network for Image Captioning and Visual Question Answering ICCV 2021 Context-Specific Likelihood Weighting AISTATS 2021 CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks ICLR 2021 Dynamic Cutset Networks AISTATS 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NeurIPS 2021 Graphical Normalizing Flows AISTATS 2021 Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021 Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021 Learning Shared Subgraphs in Ising Model Pairs AISTATS 2021 Novel Upper Bounds for the Constrained Most Probable Explanation Task NeurIPS 2021 Partition Function Estimation: A Quantitative Study IJCAI 2021 Probabilistic Dependency Graphs AAAI 2021 Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables AAAI 2021 Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective AAAI 2021