causal inference

Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026 Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes CLeaR 2026 Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026 Causal Influences over Social Learning Networks JMLR 2026 Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval AAAI 2026 Causality-Driven Audits of Model Robustness WACV 2026 Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026 Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models AAAI 2026 Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering AAAI 2026 Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction AAAI 2026 cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context UAI 2026 CHAL: Causal-guided Hierarchical Anomaly-aware Learning for Moving Infrared Small Target Detection CVPR 2026 CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation CVPR 2026 CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models EACL 2026 Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore AAAI 2026 Coarsening Bias from Variable Discretization in Causal Functionals UAI 2026 Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data CLeaR 2026 Consistent End-to-End Estimation for Counterfactual Fairness CLeaR 2026 COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs CVPR 2026 CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models AAAI 2026 Counterfactual-Driven Zero-Shot Classifier Expansion AAAI 2026 Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026 Counterfactual Planning for Generalizable Agents’ Actions AAAI 2026 DARC: Dual Adjustment Reasoning with Counterfactuals for Trustworthy Chest X-ray Classification CVPR 2026