Causal Inference

Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise IJCAI 2025 Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding AAAI 2025 Identifying Neural Dynamics Using Interventional State Space Models ICML 2025 Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference CVPR 2025 Incremental Causal Effect for Time to Treatment Initialization ICLR 2025 Inducing Causal Structure Applied to Glucose Prediction for T1DM Patients CLeaR 2025 InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025 Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models EMNLP 2025 Information-Theoretic Causal Discovery in Topological Order AISTATS 2025 Integer Programming Based Methods and Heuristics for Causal Graph Learning AISTATS 2025 Integer Programming for Generalized Causal Bootstrap Designs ICML 2025 Interpretable Neural Causal Models with TRAM-DAGs CLeaR 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency ICML 2025 Investment-Driven Social Influence: A Statistical Physics Approach to Advertising Response ACL 2025 IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025 Isolated Causal Effects of Natural Language ICML 2025 Kernel Single Proxy Control for Deterministic Confounding AISTATS 2025 Language Models as Causal Effect Generators EMNLP 2025 Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025 Large Language Models for Causal Discovery: Current Landscape and Future Directions IJCAI 2025 Latent Variable Causal Discovery under Selection Bias ICML 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models ICML 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects ICML 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025