Causal Inference

Prediction-powered Generalization of Causal Inferences ICML 2024 Predictive Coding beyond Correlations ICML 2024 Probabilities of Causation for Continuous and Vector Variables UAI 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 Products, Abstractions and Inclusions of Causal Spaces UAI 2024 Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024 Qualitative Mechanism Independence NeurIPS 2024 QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 Reasoning about Causality in Games (Abstract Reprint) AAAI 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Sample Complexity of Interventional Causal Representation Learning NeurIPS 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024 Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency ICML 2024 Score-Based Causal Discovery of Latent Variable Causal Models ICML 2024 Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024 s-ID: Causal Effect Identification in a Sub-population AAAI 2024 Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models ACL 2024 Stable Differentiable Causal Discovery ICML 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests UAI 2024 Statistical Inference Under Constrained Selection Bias ICML 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability ICLR 2024