causal inference

HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation AAAI 2026 Hierarchical Causal Models JMLR 2026 Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization WACV 2026 Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information UAI 2026 Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026 Information-Theoretic Causal Bounds under Unmeasured Confounding CLeaR 2026 Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty UAI 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026 Intervening to learn and compose causally disentangled representations CLeaR 2026 Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 Learning by Analogy: A Causal Framework for Compositional Generalization CVPR 2026 Learning Fair Graph Representations via Probability of Necessity and Sufficiency AAAI 2026 Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective ACL 2026 Learning plug-in surrogate endpoints for randomized experiments UAI 2026 Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026 Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026 Looking at Radiology Report Generation through a Causal Lens: A Survey ACL 2026 Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning AAAI 2026 Measuring Model Performance in the Presence of an Intervention AAAI 2026 MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis ACL 2026 Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026 Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026