| Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies | Oct 3, 2020 | Distributed OptimizationFederated Learning | —Unverified | 0 |
| A Single Iterative Step for Anytime Causal Discovery | Dec 14, 2020 | Causal DiscoverySelection bias | —Unverified | 0 |
| Combating Label Noise With A General Surrogate Model For Sample Selection | Oct 16, 2023 | MemorizationSelection bias | —Unverified | 0 |
| Co-Mining: Deep Face Recognition With Noisy Labels | Oct 1, 2019 | Face RecognitionSelection bias | —Unverified | 0 |
| A Nonresponse Bias Correction using Nonrandom Followup with an Application to the Gender Entrepreneurship Gap | Apr 26, 2024 | AttributeSelection bias | —Unverified | 0 |
| Reducing Selection Bias in Large Language Models | Jan 29, 2024 | Decision MakingObject | —Unverified | 0 |
| A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases | Oct 26, 2024 | MisinformationSelection bias | —Unverified | 0 |
| Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery | Oct 28, 2024 | Drug DiscoveryFew-Shot Learning | —Unverified | 0 |
| Continual Causal Inference with Incremental Observational Data | Mar 3, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Contrastive Information Transfer for Pre-Ranking Systems | Jul 7, 2022 | Recommendation SystemsRe-Ranking | —Unverified | 0 |
