{"total":31,"rows":[{"id":"2410.08770","title":"Causal machine learning for predicting treatment outcomes","created":"2024-10-11","cited_by_count":74,"area":null},{"id":"2206.06584","title":"Probabilistic Conformal Prediction Using Conditional Random Samples","created":"2022-06-14","cited_by_count":47,"area":null},{"id":"2506.10914","title":"Foundation Models for Causal Inference via Prior-Data Fitted Networks","created":"2025-06-12","cited_by_count":32,"area":null},{"id":"2112.11449","title":"Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding","created":"2021-12-21","cited_by_count":28,"area":null},{"id":"2304.10577","title":"B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding","created":"2023-04-20","cited_by_count":28,"area":null},{"id":"2305.16988","title":"Sharp Bounds for Generalized Causal Sensitivity Analysis","created":"2023-05-26","cited_by_count":24,"area":null},{"id":"2204.10022","title":"Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions","created":"2022-04-21","cited_by_count":20,"area":null},{"id":"2311.11321","title":"Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation","created":"2023-11-19","cited_by_count":20,"area":null},{"id":"2311.16026","title":"A Neural Framework for Generalized Causal Sensitivity Analysis","created":"2023-11-27","cited_by_count":17,"area":null},{"id":"2306.01424","title":"Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model","created":"2023-06-02","cited_by_count":14,"area":null},{"id":"2406.02464","title":"Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments","created":"2024-06-04","cited_by_count":11,"area":null},{"id":"2311.18460","title":"Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework","created":"2023-11-30","cited_by_count":10,"area":null},{"id":"2411.03387","title":"Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner","created":"2024-11-05","cited_by_count":10,"area":null},{"id":"2212.09844","title":"Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding","created":"2022-12-19","cited_by_count":8,"area":null},{"id":"2312.03871","title":"Hidden yet quantifiable: A lower bound for confounding strength using randomized trials","created":"2023-12-06","cited_by_count":8,"area":null},{"id":"2204.11206","title":"Partial Identification of Dose Responses with Hidden Confounders","created":"2022-04-24","cited_by_count":7,"area":null},{"id":"2306.09520","title":"Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding","created":"2023-06-15","cited_by_count":7,"area":null},{"id":"2502.13022","title":"Efficient and Sharp Off-Policy Learning under Unobserved Confounding","created":"2025-02-18","cited_by_count":6,"area":null},{"id":"2310.08824","title":"Confounding-Robust Policy Improvement with Human-AI Teams","created":"2023-10-13","cited_by_count":4,"area":null},{"id":"2404.00099","title":"Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes","created":"2024-03-29","cited_by_count":3,"area":null},{"id":"2605.10590","title":"Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks","created":"2026-05-11","cited_by_count":3,"area":null},{"id":"2302.13348","title":"Kernel Conditional Moment Constraints for Confounding Robust Inference","created":"2023-02-26","cited_by_count":2,"area":null},{"id":"2403.00694","title":"Defining Expertise: Applications to Treatment Effect Estimation","created":"2024-03-01","cited_by_count":2,"area":null},{"id":"2601.17160","title":"Information-Theoretic Causal Bounds under Unmeasured Confounding","created":"2026-01-23","cited_by_count":2,"area":null},{"id":"2510.13397","title":"Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2602.03459","title":"Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2309.12450","title":"A Convex Framework for Confounding Robust Inference","created":"2023-09-21","cited_by_count":0,"area":null},{"id":"2310.14763","title":"Externally Valid Policy Evaluation Combining Trial and Observational Data","created":"2023-10-23","cited_by_count":0,"area":null},{"id":"2508.14858","title":"Data Fusion for High-Resolution Estimation","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2603.07018","title":"TEA-Time: Transporting Effects Across Time","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2609.27144","title":"Learning Risk Scores Robust to Unobserved Confounders","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}