| Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests | Feb 21, 2024 | Conformal PredictionDecision Making | —Unverified | 0 | 0 |
| Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning | Feb 1, 2024 | AI AgentDecision Making | —Unverified | 0 | 0 |
| Beyond the Norms: Detecting Prediction Errors in Regression Models | Jun 11, 2024 | DiversityPrediction | —Unverified | 0 | 0 |
| Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison | Oct 19, 2023 | PredictionPrediction Intervals | —Unverified | 0 | 0 |
| Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes | Feb 5, 2021 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation | Feb 16, 2024 | Autonomous DrivingDepth Estimation | —Unverified | 0 | 0 |
| Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain | Apr 15, 2025 | DenoisingImage Denoising | —Unverified | 0 | 0 |
| Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA | Jun 14, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Efficient Line Search Method Based on Regression and Uncertainty Quantification | May 17, 2024 | Bayesian Optimizationregression | —Unverified | 0 | 0 |
| Uncertainty Quantification and Exploration for Reinforcement Learning | Oct 12, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |