| Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse | Sep 8, 2023 | counterfactual | —Unverified | 0 |
| De-amplifying Bias from Differential Privacy in Language Model Fine-tuning | Feb 7, 2024 | counterfactualData Augmentation | —Unverified | 0 |
| Anonymizing medical case-based explanations through disentanglement | Nov 8, 2023 | counterfactualDecision Making | —Unverified | 0 |
| Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension | Feb 22, 2021 | counterfactualLearning Theory | —Unverified | 0 |
| Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time | Dec 7, 2021 | counterfactual | —Unverified | 0 |
| Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation | Jun 28, 2023 | counterfactualRecommendation Systems | —Unverified | 0 |
| De-Biasing Generative Models using Counterfactual Methods | Jul 4, 2022 | counterfactualDisentanglement | —Unverified | 0 |
| CFGs: Causality Constrained Counterfactual Explanations using goal-directed ASP | May 24, 2024 | Attributecounterfactual | —Unverified | 0 |
| Counterfactual Explanations via Latent Space Projection and Interpolation | Dec 2, 2021 | Binary Classificationcounterfactual | —Unverified | 0 |
| Causal and Counterfactual Views of Missing Data Models | Oct 11, 2022 | Causal IdentificationCausal Inference | —Unverified | 0 |
