| Federated Learning in the Presence of Adversarial Client Unavailability | May 31, 2023 | Federated LearningSelection bias | —Unverified | 0 |
| A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias | May 25, 2023 | Robust classificationSelection bias | —Unverified | 0 |
| Prompting Large Language Models for Counterfactual Generation: An Empirical Study | May 24, 2023 | counterfactualData Augmentation | —Unverified | 0 |
| Improving Heterogeneous Model Reuse by Density Estimation | May 23, 2023 | Density Estimationmodel | CodeCode Available | 0 |
| The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data | May 22, 2023 | Causal InferencePartially Labeled Datasets | —Unverified | 0 |
| On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection | May 22, 2023 | ClassificationFairness | —Unverified | 0 |
| Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach | May 17, 2023 | Causal DiscoveryImputation | —Unverified | 0 |
| Causal Interventions-based Few-Shot Named Entity Recognition | May 3, 2023 | Few-Shot Learningfew-shot-ner | —Unverified | 0 |
| The Structurally Complex with Additive Parent Causality (SCARY) Dataset | Apr 27, 2023 | Additive modelsCausal Discovery | CodeCode Available | 0 |
| Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR | Apr 3, 2023 | Deep LearningSelection bias | CodeCode Available | 1 |
| 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 |
| Mathematical Capabilities of ChatGPT | Jan 31, 2023 | Elementary MathematicsMath | CodeCode Available | 1 |
| 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 |
