| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data | Mar 7, 2023 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| ALMANACS: A Simulatability Benchmark for Language Model Explainability | Dec 20, 2023 | counterfactualLanguage Modeling | CodeCode Available | 0 | 5 |
| Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation | Apr 12, 2021 | counterfactualPrediction | CodeCode Available | 0 | 5 |
| Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing | May 25, 2022 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| Do LLMs Have the Generalization Ability in Conducting Causal Inference? | Oct 15, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Δ- OPE: Off-Policy Estimation with Pairs of Policies | May 16, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination | Mar 28, 2025 | Binary Classificationcounterfactual | CodeCode Available | 0 | 5 |
| Distinguishing Cause from Effect with Causal Velocity Models | Feb 7, 2025 | Causal Discoverycounterfactual | CodeCode Available | 0 | 5 |
