conftrace_

probabilistic graphical model

226 papers

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Also known as

PGM

Co-occurring keywords

graphical model (864) bayesian network (378) bayesian inference (1907) variational inference (2069) approximate inference (253) probabilistic modeling (852) structure learning (341) markov random field (303) belief propagation (177) probabilistic inference (312)

Papers

Relevant Walk Search for Explaining Graph Neural Networks ICML 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023
Factor Graph Neural Networks JMLR 2023
Rehearsal Learning for Avoiding Undesired Future NIPS 2023
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation NIPS 2023
Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations WACV 2023
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level AAAI 2023
Hierarchical clustering with dot products recovers hidden tree structure NIPS 2023
The d-Separation Criterion in Categorical Probability JMLR 2023
Toward Annotator Group Bias in Crowdsourcing ACL 2022
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022
Structured Recognition for Generative Models with Explaining Away NIPS 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models NIPS 2022
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
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract) IJCAI 2022
Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022
Anytime Learning of Sum-Product and Sum-Product-Max Networks PGM 2022
Dynamic Cutset Networks AISTATS 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021
Approximate implication with d-separation UAI 2021
Graphical Normalizing Flows AISTATS 2021
Partition Function Estimation: A Quantitative Study IJCAI 2021
Auto-Parsing Network for Image Captioning and Visual Question Answering ICCV 2021
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables AAAI 2021