| 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 |