| A General Neural Causal Model for Interactive Recommendation | Oct 30, 2023 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness | Oct 30, 2023 | Adversarial Robustnesscounterfactual | —Unverified | 0 |
| Counterfactually Probing Language Identity in Multilingual Models | Oct 29, 2023 | counterfactualLanguage Modeling | CodeCode Available | 0 |
| Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector | Oct 29, 2023 | counterfactualDecision Making | —Unverified | 0 |
| Optimal Transport for Treatment Effect Estimation | Oct 27, 2023 | counterfactualSelection bias | —Unverified | 0 |
| Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation | Oct 26, 2023 | counterfactualOff-policy evaluation | CodeCode Available | 0 |
| Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term | Oct 26, 2023 | counterfactualExplanation Generation | —Unverified | 0 |
| Counterfactual Fairness for Predictions using Generative Adversarial Networks | Oct 26, 2023 | Attributecounterfactual | —Unverified | 0 |
| Causality-Inspired Fair Representation Learning for Multimodal Recommendation | Oct 26, 2023 | AttributeCausal Inference | CodeCode Available | 1 |
| Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models | Oct 25, 2023 | counterfactual | CodeCode Available | 0 |
