| Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach | Dec 15, 2018 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 | 0 |
| Extending the Scope of Inference About Predictive Ability to Machine Learning Methods | Feb 20, 2024 | Time SeriesUncertainty Quantification | —Unverified | 0 | 0 |
| Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification | May 11, 2022 | BIG-bench Machine LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Extracting Dynamical Models from Data | Oct 13, 2021 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 | 0 |
| Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification | Mar 7, 2024 | Fact CheckingHallucination | —Unverified | 0 | 0 |
| Fairness Uncertainty Quantification: How certain are you that the model is fair? | Apr 27, 2023 | FairnessUncertainty Quantification | —Unverified | 0 | 0 |
| Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks | May 3, 2024 | FairnessImage Segmentation | —Unverified | 0 | 0 |
| Fair Uncertainty Quantification for Depression Prediction | May 8, 2025 | Conformal PredictionFairness | —Unverified | 0 | 0 |
| Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows | Jul 15, 2020 | Bayesian InferenceTransfer Learning | —Unverified | 0 | 0 |
| Fast Likelihood-Free Parameter Estimation for Lévy Processes | May 3, 2025 | parameter estimationUncertainty Quantification | —Unverified | 0 | 0 |
