| NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification | Mar 3, 2022 | DenoisingDiffusion MRI | —Unverified | 0 |
| Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection | Dec 22, 2020 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| On Convergence of Federated Averaging Langevin Dynamics | Dec 9, 2021 | Uncertainty Quantification | —Unverified | 0 |
| On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples | Mar 25, 2022 | compressed sensingUncertainty Quantification | —Unverified | 0 |
| On Fairness and Stability: Is Estimator Variance a Friend or a Foe? | Feb 9, 2023 | FairnessUncertainty Quantification | —Unverified | 0 |
| On Fractional Moment Estimation from Polynomial Chaos Expansion | Mar 4, 2024 | Experimental DesignUncertainty Quantification | —Unverified | 0 |
| On Gaussian Process Priors in Conditional Moment Restriction Models | Nov 1, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Online Algorithms with Uncertainty-Quantified Predictions | Oct 17, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Calibrated Regression Against An Adversary Without Regret | Feb 23, 2023 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Online machine-learning forecast uncertainty estimation for sequential data assimilation | May 12, 2023 | Uncertainty Quantification | —Unverified | 0 |