causal effect

Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025 The Causal-Effect Score in Data Management CLeaR 2025 The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025 Transfer learning in latent contextual bandits with covariate shift through causal transportability CLeaR 2025 Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation ICML 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 Adjustment Identification Distance: A gadjid for Causal Structure Learning UAI 2024 A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NeurIPS 2024 An engine not a camera: Measuring performative power of online search NeurIPS 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Bicycle: Intervention-Based Causal Discovery with Cycles CLeaR 2024 Causal Effect Identification in a Sub-Population with Latent Variables NeurIPS 2024 Causal Effect Identification in LiNGAM Models with Latent Confounders ICML 2024 Causality for Functional Longitudinal Data CLeaR 2024 Conditional Adjustment in a Markov Equivalence Class AISTATS 2024 Conditional Common Entropy for Instrumental Variable Testing and Partial Identification ICML 2024 Consistency of Neural Causal Partial Identification NeurIPS 2024 Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024 Dual Likelihood for Causal Inference under Structure Uncertainty CLeaR 2024 Estimating the Causal Effect of Early ArXiving on Paper Acceptance CLeaR 2024 Identifying Causal Effects Under Functional Dependencies NeurIPS 2024 Learning Decision Policies with Instrumental Variables through Double Machine Learning ICML 2024 Linear Explanations for Individual Neurons ICML 2024 Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024 On Positivity Condition for Causal Inference ICML 2024