| The Structurally Complex with Additive Parent Causality (SCARY) Dataset | Apr 27, 2023 | Additive modelsCausal Discovery | CodeCode Available | 0 |
| Correcting for Selection Bias and Missing Response in Regression using Privileged Information | Mar 29, 2023 | Imputationregression | CodeCode Available | 0 |
| Sensitivity Analysis in Unconditional Quantile Effects | Mar 24, 2023 | counterfactualSelection bias | —Unverified | 0 |
| Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation | Mar 23, 2023 | counterfactualGeneralization Bounds | CodeCode Available | 0 |
| Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data | Mar 8, 2023 | Binary ClassificationRecommendation Systems | —Unverified | 0 |
| Continual Causal Inference with Incremental Observational Data | Mar 3, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System | Mar 1, 2023 | Recommendation SystemsSelection bias | —Unverified | 0 |
| Representation Disentaglement via Regularization by Causal Identification | Feb 28, 2023 | Causal IdentificationCausal Inference | —Unverified | 0 |
| Counterfactual Prediction Under Outcome Measurement Error | Feb 22, 2023 | counterfactualDecision Making | CodeCode Available | 0 |
| DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation | Feb 13, 2023 | counterfactualMulti-Task Learning | —Unverified | 0 |
| Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction | Feb 1, 2023 | Selection bias | —Unverified | 0 |
| Applications and Challenges of Sentiment Analysis in Real-life Scenarios | Jan 24, 2023 | Selection biasSentiment Analysis | —Unverified | 0 |
| Relaxing Instrument Exogeneity with Common Confounders | Jan 5, 2023 | Selection bias | —Unverified | 0 |
| Continual Causal Effect Estimation: Challenges and Opportunities | Jan 3, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Cross-Dataset Propensity Estimation for Debiasing Recommender Systems | Dec 22, 2022 | Causal InferenceQuantization | —Unverified | 0 |
| 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 |
| A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction | Nov 12, 2022 | Generalization BoundsImputation | —Unverified | 0 |
| Robust Difference-in-differences Models | Nov 12, 2022 | Selection bias | CodeCode Available | 0 |