Causal Inference

Learning a Spatial Partitioning and its Causal Relations from Temporal Data CLeaR 2026 Learning by Analogy: A Causal Framework for Compositional Generalization CVPR 2026 Learning control variables and instruments for causal analysis in observational data CLeaR 2026 Learning Fair Graph Representations via Probability of Necessity and Sufficiency AAAI 2026 Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model 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 Stable Digraphs from Sparse-Input Linear Structural Causal Models UAI 2026 Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026 Learning Who to Treat When Treatment is Missing UAI 2026 Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach UAI 2026 LLM as a Risk Manager: LLM Semantic Filtering for Lead–Lag Trading in Prediction Markets ACL 2026 LLM-Guided Quantified SMT Solving over Uninterpreted Functions AAAI 2026 LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics EACL 2026 Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects CLeaR 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 MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery 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 MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision AAAI 2026 Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection AAAI 2026 MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions UAI 2026 Meta-Dependence in Conditional Independence Testing UAI 2026 METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models ACL 2026