Causal Inference

Root Cause Analysis of Failures from Partial Causal Structures UAI 2025 RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models EMNLP 2025 Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning AAAI 2025 Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics ICML 2025 Sampling Boundary for Causal Effect Estimation ACML 2025 Sanity Checking Causal Representation Learning on a Simple Real-World System ICML 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Score-based Causal Representation Learning: Linear and General Transformations JMLR 2025 Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation NAACL 2025 SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News SemEval 2025 Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness AAAI 2025 SGCD: Subtask-Guided Causal-Debiasing Framework for Robust Cross-Utterance Sentiment Quadruple Extraction in Dialogues EMNLP 2025 Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework CLeaR 2025 Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes ICLR 2025 Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations CVPR 2025 Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery ICML 2025 Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries ICLR 2025 SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph AISTATS 2025 SPACETIME: Causal Discovery from Non-Stationary Time Series AAAI 2025 SPARK: Simulating the Co-evolution of Stance and Topic Dynamics in Online Discourse with LLM-based Agents EMNLP 2025 Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding AISTATS 2025 Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models ICLR 2025 SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps IJCAI 2025 Spectral Representation for Causal Estimation with Hidden Confounders AISTATS 2025 Spectro-Riemannian Graph Neural Networks ICLR 2025