| Consistent Range Approximation for Fair Predictive Modeling | Dec 21, 2022 | FairnessSelection bias | CodeCode Available | 0 |
| Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection | Dec 20, 2022 | Information RetrievalRetrieval | —Unverified | 0 |
| TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective | Dec 17, 2022 | Contrastive Learningcounterfactual | —Unverified | 0 |
| Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data | Dec 6, 2022 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| PatchMix Augmentation to Identify Causal Features in Few-shot Learning | Nov 29, 2022 | Data AugmentationFew-Shot Learning | —Unverified | 0 |
| Recommending Related Products Using Graph Neural Networks in Directed Graphs | Nov 18, 2022 | Graph Neural NetworkProduct Recommendation | —Unverified | 0 |
| Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions | Nov 17, 2022 | Bayesian InferenceSelection bias | CodeCode Available | 0 |
| Graph Neural Networks for Causal Inference Under Network Confounding | Nov 15, 2022 | Causal InferenceSelection bias | —Unverified | 0 |
| Robust Difference-in-differences Models | Nov 12, 2022 | Selection bias | CodeCode Available | 0 |
| A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction | Nov 12, 2022 | Generalization BoundsImputation | —Unverified | 0 |
