| A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias | May 5, 2018 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Matched sample selection with GANs for mitigating attribute confounding | Mar 24, 2021 | AttributeFace Generation | CodeCode Available | 1 | 5 |
| Difference-in-Differences with a Continuous Treatment | Jul 6, 2021 | Selection bias | CodeCode Available | 1 | 5 |
| Large Language Models Are Not Robust Multiple Choice Selectors | Sep 7, 2023 | Computational EfficiencyMultiple-choice | CodeCode Available | 1 | 5 |
| Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation | May 28, 2021 | counterfactualImputation | CodeCode Available | 1 | 5 |
| Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation | Feb 2, 2022 | Heterogeneous Treatment Effect EstimationPOS | CodeCode Available | 1 | 5 |
| Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid | Oct 30, 2022 | Few-Shot LearningSelection bias | CodeCode Available | 1 | 5 |
| DiffPO: A causal diffusion model for learning distributions of potential outcomes | Oct 11, 2024 | Causal InferenceDecision Making | CodeCode Available | 1 | 5 |
| An Information-theoretic Approach to Distribution Shifts | Jun 7, 2021 | Domain GeneralizationModel Selection | CodeCode Available | 1 | 5 |
| Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias | Oct 23, 2023 | DiversitySelection bias | CodeCode Available | 1 | 5 |
