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

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026
Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness AAAI 2025
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025
Learnability of Parameter-Bounded Bayes Nets AAAI 2025
A Bayesian account of pronoun and neopronoun acquisition NAACL 2025
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
CoLAL: Co-learning Active Learning for Text Classification AAAI 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Qualitative Mechanism Independence NIPS 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
Structural perspective on constraint-based learning of Markov networks AISTATS 2024
Lifted Causal Inference in Relational Domains CLEAR 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024
Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NIPS 2024
What type of inference is planning? NIPS 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024
The d-Separation Criterion in Categorical Probability JMLR 2023
Revisiting Structured Variational Autoencoders ICML 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023
Inference for probabilistic dependency graphs UAI 2023