| Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies | Oct 3, 2020 | Distributed OptimizationFederated Learning | —Unverified | 0 | 0 |
| Combating Label Noise With A General Surrogate Model For Sample Selection | Oct 16, 2023 | MemorizationSelection bias | —Unverified | 0 | 0 |
| Co-Mining: Deep Face Recognition With Noisy Labels | Oct 1, 2019 | Face RecognitionSelection bias | —Unverified | 0 | 0 |
| Reducing Selection Bias in Large Language Models | Jan 29, 2024 | Decision MakingObject | —Unverified | 0 | 0 |
| Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery | Oct 28, 2024 | Drug DiscoveryFew-Shot Learning | —Unverified | 0 | 0 |
| Continual Causal Inference with Incremental Observational Data | Mar 3, 2023 | Causal Inferencecounterfactual | —Unverified | 0 | 0 |
| Continual Lifelong Causal Effect Inference with Real World Evidence | Jan 1, 2021 | counterfactualRepresentation Learning | —Unverified | 0 | 0 |
| Continual Causal Effect Estimation: Challenges and Opportunities | Jan 3, 2023 | Causal Inferencecounterfactual | —Unverified | 0 | 0 |
| Continuous Treatment Effects with Surrogate Outcomes | Jan 31, 2024 | Causal InferenceSelection bias | —Unverified | 0 | 0 |
| Contrastive Information Transfer for Pre-Ranking Systems | Jul 7, 2022 | Recommendation SystemsRe-Ranking | —Unverified | 0 | 0 |
| Contrastive Learning for Recommender System | Jan 5, 2021 | Collaborative FilteringContrastive Learning | —Unverified | 0 | 0 |
| Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction | Oct 15, 2019 | Click-Through Rate PredictionMulti-Task Learning | —Unverified | 0 | 0 |
| Correcting for Selection Bias in Learning-to-rank Systems | Jan 29, 2020 | counterfactualLearning-To-Rank | —Unverified | 0 | 0 |
| Correcting the User Feedback-Loop Bias for Recommendation Systems | Sep 13, 2021 | Recommendation SystemsSelection bias | —Unverified | 0 | 0 |
| CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation | Feb 8, 2024 | Contrastive Learningcounterfactual | —Unverified | 0 | 0 |
| Cross-Dataset Propensity Estimation for Debiasing Recommender Systems | Dec 22, 2022 | Causal InferenceQuantization | —Unverified | 0 | 0 |
| DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation | Feb 13, 2023 | counterfactualMulti-Task Learning | —Unverified | 0 | 0 |
| Debiased Graph Neural Networks with Agnostic Label Selection Bias | Jan 19, 2022 | parameter estimationSelection bias | —Unverified | 0 | 0 |
| Machine Learning Inference on Inequality of Opportunity | Jun 10, 2022 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
| Selection and the Distribution of Female Hourly Wages in the U.S | Dec 21, 2018 | Selection bias | —Unverified | 0 | 0 |
| Deep Causal Learning: Representation, Discovery and Inference | Nov 7, 2022 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction | Nov 24, 2020 | Selection biasSurvival Analysis | —Unverified | 0 | 0 |
| Delve into the Performance Degradation of Differentiable Architecture Search | Sep 28, 2021 | Bilevel OptimizationSelection bias | —Unverified | 0 | 0 |
| Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata | Feb 24, 2025 | Selection bias | —Unverified | 0 | 0 |
| Distinguishing cause from effect using observational data: methods and benchmarks | Dec 11, 2014 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |