| Counterfactual Prediction Under Outcome Measurement Error | Feb 22, 2023 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Generalized Lee Bounds | Aug 28, 2020 | Selection bias | CodeCode Available | 0 | 5 |
| Active Structure Learning of Causal DAGs via Directed Clique Trees | Dec 1, 2020 | Selection bias | CodeCode Available | 0 | 5 |
| Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data | Apr 30, 2019 | Causal InferenceRepresentation Learning | CodeCode Available | 0 | 5 |
| Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation | May 27, 2022 | BenchmarkingDataset Generation | CodeCode Available | 0 | 5 |
| Pre-training of Graph Augmented Transformers for Medication Recommendation | Jun 2, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| BOBA: Byzantine-Robust Federated Learning with Label Skewness | Aug 27, 2022 | Federated LearningSelection bias | CodeCode Available | 0 | 5 |
| Bounding Counterfactuals under Selection Bias | Jul 26, 2022 | Selection bias | CodeCode Available | 0 | 5 |
| An adaptive denoising recommendation algorithm for causal separation bias | Nov 15, 2023 | Causal InferenceDenoising | CodeCode Available | 0 | 5 |
| Correcting Sociodemographic Selection Biases for Population Prediction from Social Media | Nov 10, 2019 | PredictionSelection bias | CodeCode Available | 0 | 5 |
