| Efficient counterfactual estimation in semiparametric discrete choice models: a note on Chiong, Hsieh, and Shum (2017) | Dec 9, 2021 | counterfactualDiscrete Choice Models | —Unverified | 0 |
| Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach | Dec 8, 2021 | counterfactualDecision Making | —Unverified | 0 |
| Non parametric estimation of causal populations in a counterfactual scenario | Dec 8, 2021 | counterfactual | —Unverified | 0 |
| Enhancing Counterfactual Classification via Self-Training | Dec 8, 2021 | Classificationcounterfactual | CodeCode Available | 0 |
| Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time | Dec 7, 2021 | counterfactual | —Unverified | 0 |
| Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates | Dec 5, 2021 | counterfactualDiversity | —Unverified | 0 |
| Counterfactual Fairness in Mortgage Lending via Matching and Randomization | Dec 3, 2021 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization | Dec 2, 2021 | counterfactualImage Generation | CodeCode Available | 1 |
| Counterfactual Explanations via Latent Space Projection and Interpolation | Dec 2, 2021 | Binary Classificationcounterfactual | —Unverified | 0 |
| Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems | Dec 2, 2021 | Adversarial Robustnesscounterfactual | —Unverified | 0 |
