Causal Inference

A causal machine learning framework for pharmacovigilance signal detection in electronic health records: Drug-induced acute kidney injury CLeaR 2026 A Convex Framework for Confounding Robust Inference JMLR 2026 Automatic debiased machine learning and sensitivity analysis for sample selection models CLeaR 2026 Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness UAI 2026 Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery UAI 2026 Canonical Domain Reduction for Partial Counterfactual Identification UAI 2026 Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles ACL 2026 Estimating Interventional Outcomes over Time with Causal Normalizing Flow UAI 2026 Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables UAI 2026 Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis UAI 2026 Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models UAI 2026 Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information UAI 2026 Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models UAI 2026 Learning Who to Treat When Treatment is Missing UAI 2026 On the Granularity of Causal Effect Identifiability UAI 2026 Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator UAI 2026 Testing Partially-Identifiable Causal Queries Using Ternary Tests UAI 2026 Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration UAI 2026 A Causal Framework for Evaluating Deferring Systems AISTATS 2025 Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference AISTATS 2025 A Practical Approach to Causal Inference over Time AAAI 2025 A Robust Method to Discover Causal or Anticausal Relation ICLR 2025 Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025 Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments AISTATS 2025