probabilistic graphical model

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 R^2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning ICLR 2025 A Bayesian account of pronoun and neopronoun acquisition NAACL 2025 Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025 Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning ICLR 2025 Learnability of Parameter-Bounded Bayes Nets AAAI 2025 M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling AISTATS 2025 Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025 SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models ICML 2025 Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness AAAI 2025 SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings AISTATS 2025 The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities ICLR 2025 CoLAL: Co-learning Active Learning for Text Classification AAAI 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Efficient Detection of Commutative Factors in Factor Graphs PGM 2024 Knowledge Intensive Learning of Credal Networks UAI 2024 Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024 Learning Staged Trees from Incomplete Data PGM 2024 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024 Lifted Causal Inference in Relational Domains CLeaR 2024 MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024