| Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness | Oct 30, 2023 | counterfactualFairness | CodeCode Available | 0 | 5 |
| Adversarially Balanced Representation for Continuous Treatment Effect Estimation | Dec 17, 2023 | counterfactualRepresentation Learning | CodeCode Available | 0 | 5 |
| Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning | May 26, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank | Mar 31, 2022 | counterfactualGeneral Reinforcement Learning | CodeCode Available | 0 | 5 |
| Causal Collaborative Filtering | Feb 3, 2021 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| 2D-Shapley: A Framework for Fragmented Data Valuation | Jun 18, 2023 | counterfactualData Valuation | CodeCode Available | 0 | 5 |
| Do LLMs Have the Generalization Ability in Conducting Causal Inference? | Oct 15, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds | May 20, 2025 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Adversarial Learning for Counterfactual Fairness | Aug 30, 2020 | Attributecounterfactual | CodeCode Available | 0 | 5 |
