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Causal Inference

1,197 papers

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Papers

Falsifying Causal Graphs With Outlier Events UAI 2026 Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables CLeaR 2026 Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models UAI 2026 Hierarchical Causal Models JMLR 2026 Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026 How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors UAI 2026 I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables AAAI 2026 Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information UAI 2026 iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph Annotations ACL 2026 Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach UAI 2026 Multimodal Causality-Driven Representation Learning for Generalizable Medical Image Segmentation CVPR 2026 NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise ACL 2026 One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures UAI 2026 On the Granularity of Causal Effect Identifiability UAI 2026 Partially Observed Structural Causal Models UAI 2026 Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator UAI 2026 Relaxing Faithfulness with Intervention-Only Causal Discovery UAI 2026 Robust Weighted Triangulation of Causal Effects Under Model Uncertainty UAI 2026 SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models SemEval 2026 Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems UAI 2026 Spatio-Temporal Hierarchical Causal Models AAAI 2026 Structure Learning for Unfaithful Distributions: The Minimal Dependence Faithfulness UAI 2026 Testing Partially-Identifiable Causal Queries Using Ternary Tests UAI 2026 The Price of Valid Inference After Causal Discovery UAI 2026 The relative value of interventional and observational samples in Bayesian Causal Linear Gaussian Models UAI 2026