{"total":14,"rows":[{"id":"2306.09433","title":"Towards Practical Federated Causal Structure Learning","created":"2023-06-15","cited_by_count":9,"area":null},{"id":"2410.14789","title":"Differentially Private Covariate Balancing Causal Inference","created":"2024-10-18","cited_by_count":5,"area":null},{"id":"2503.03486","title":"Differentially Private Learners for Heterogeneous Treatment Effects","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2310.06237","title":"Differentially Private Multi-Site Treatment Effect Estimation","created":"2023-10-10","cited_by_count":4,"area":null},{"id":"2307.13127","title":"A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning","created":"2023-07-24","cited_by_count":3,"area":null},{"id":"2308.00957","title":"Improving the Variance of Differentially Private Randomized Experiments through Clustering","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2409.07215","title":"Is merging worth it? Securely evaluating the information gain for causal dataset acquisition","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2505.19589","title":"Model Agnostic Differentially Private Causal Inference","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2401.08224","title":"Privacy Preserving Adaptive Experiment Design","created":"2024-01-16","cited_by_count":1,"area":null},{"id":"2606.03878","title":"Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2509.05864","title":"Beyond ATE: Multi-Criteria Design for A/B Testing","created":"2025-09-06","cited_by_count":0,"area":null},{"id":"2602.12604","title":"Differentially Private Two-Stage Empirical Risk Minimization with Applications to Individualized Treatment Rule","created":"2026-02-13","cited_by_count":0,"area":null},{"id":"2607.08122","title":"Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2609.09536","title":"Differentially Private Average Treatment Effect Estimation by Propensity Score Blocking","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}