| Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach | Jun 13, 2023 | Decision MakingSelection bias | —Unverified | 0 |
| Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems | Jun 11, 2023 | FairnessLearning-To-Rank | —Unverified | 0 |
| Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao | Jun 6, 2023 | Click-Through Rate PredictionData Augmentation | —Unverified | 0 |
| Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review | Jun 2, 2023 | ArticlesDeep Learning | —Unverified | 0 |
| Social Interactions in Endogenous Groups | Jun 2, 2023 | Selection bias | —Unverified | 0 |
| 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 |
