| 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 |
| Online scalable Gaussian processes with conformal prediction for guaranteed coverage | Oct 7, 2024 | Conformal PredictionGaussian Processes | —Unverified | 0 |
| Beyond Calibration: Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence | May 20, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression | Feb 24, 2022 | 3D ReconstructionAutonomous Driving | —Unverified | 0 |
| On Second-Order Scoring Rules for Epistemic Uncertainty Quantification | Jan 30, 2023 | Uncertainty Quantification | —Unverified | 0 |
| On Semi-parametric Inference for BART | Jan 1, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| On the Computation and Applications of Large Dense Partial Correlation Networks | Mar 17, 2019 | Dimensionality ReductionModel Selection | —Unverified | 0 |
| Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation | Mar 11, 2022 | Uncertainty Quantification | —Unverified | 0 |
| On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective | Sep 29, 2023 | Continual LearningUncertainty Quantification | —Unverified | 0 |
| On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting | Mar 6, 2025 | quantile regressionUncertainty Quantification | —Unverified | 0 |
| On the Independence Assumption in Neurosymbolic Learning | Apr 12, 2024 | Uncertainty Quantificationvalid | —Unverified | 0 |
| On the Limitations of Model Stealing with Uncertainty Quantification Models | May 9, 2023 | DiversityUncertainty Quantification | —Unverified | 0 |
| On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning | Jun 3, 2025 | Uncertainty Quantification | —Unverified | 0 |
| On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction | Oct 17, 2023 | Conformal PredictionPrediction | —Unverified | 0 |
| On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals | Feb 11, 2025 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| On transfer learning of neural networks using bi-fidelity data for uncertainty propagation | Feb 11, 2020 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| On Uncertainty In Natural Language Processing | Oct 4, 2024 | Conformal Predictiontext-classification | —Unverified | 0 |
| Operator Learning: A Statistical Perspective | Apr 4, 2025 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian | Nov 1, 2022 | Decision MakingOffline RL | —Unverified | 0 |
| Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control | Aug 18, 2022 | energy managementManagement | —Unverified | 0 |
| Optimal Uncertainty-guided Neural Network Training | Dec 30, 2019 | Prediction IntervalsUncertainty Quantification | —Unverified | 0 |