{"total":21,"rows":[{"id":"2211.03374","title":"Deep Causal Learning: Representation, Discovery and Inference","created":"2022-11-07","cited_by_count":11,"area":null},{"id":"2305.15984","title":"Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation","created":"2023-05-25","cited_by_count":11,"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":"2308.11636","title":"Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning","created":"2023-08-14","cited_by_count":6,"area":null},{"id":"2310.00641","title":"RegBN: Batch Normalization of Multimodal Data with Regularization","created":"2023-10-01","cited_by_count":5,"area":null},{"id":"2305.09126","title":"Transfer Learning for Causal Effect Estimation","created":"2023-05-16","cited_by_count":3,"area":null},{"id":"2410.03208","title":"SPHINX: Structural Prediction using Hypergraph Inference Network","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2305.11353","title":"Meta-learning for heterogeneous treatment effect estimation with closed-form solvers","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2401.02154","title":"Disentangle Estimation of Causal Effects from Cross-Silo Data","created":"2024-01-04","cited_by_count":2,"area":null},{"id":"2402.17705","title":"Federated Learning for Estimating Heterogeneous Treatment Effects","created":"2024-02-27","cited_by_count":2,"area":null},{"id":"2402.18392","title":"Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2310.03258","title":"Assessing Electricity Service Unfairness with Transfer Counterfactual Learning","created":"2023-10-05","cited_by_count":1,"area":null},{"id":"2311.03002","title":"Estimating treatment effects from single-arm trials via latent-variable modeling","created":"2023-11-06","cited_by_count":1,"area":null},{"id":"2505.24413","title":"Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data","created":"2025-05-30","cited_by_count":1,"area":null},{"id":"2603.19186","title":"Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2411.03021","title":"Testing Generalizability in Causal Inference","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2512.16489","title":"Advantages and limitations in the use of transfer learning for individual treatment effects in causal machine learning","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2604.03772","title":"Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding","created":"2026-04-04","cited_by_count":0,"area":null},{"id":"2606.07693","title":"Transfer learning for causal forest","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2608.18932","title":"Transportable Causal Effect Estimation across Networks under Interference","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.06294","title":"Representation Learning for Sample-Efficient CATE Estimation by Leveraging Multiple Outcomes","created":"2026-09-05","cited_by_count":0,"area":null}],"next_cursor":null}