Causal Inference

On the Out-of-Distribution Generalization of Self-Supervised Learning ICML 2025 On the Reliability of Large Language Models for Causal Discovery ACL 2025 On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025 On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025 Optimal estimation of linear non-Gaussian structure equation models AISTATS 2025 Option Symbol Matters: Investigating and Mitigating Multiple-Choice Option Symbol Bias of Large Language Models NAACL 2025 Orthogonal Causal Calibration (Extended Abstract) COLT 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025 Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data ICML 2025 Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules ICML 2025 Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption ICML 2025 Position: Probabilistic Modelling is Sufficient for Causal Inference ICML 2025 PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025 Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set CLeaR 2025 Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies ICML 2025 RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals ICML 2025 Reasoning About Actual Causes in Nondeterministic Domains AAAI 2025 Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates ICLR 2025 Recursive Causal Discovery JMLR 2025 Relational Causal Discovery with Latent Confounders UAI 2025 Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025 Root Cause Analysis of Failures from Partial Causal Structures UAI 2025 Score matching through the roof: linear, nonlinear, and latent variables causal discovery CLeaR 2025 Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework CLeaR 2025 Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery ICML 2025