| NGBoost: Natural Gradient Boosting for Probabilistic Prediction | Oct 8, 2019 | Predictionregression | CodeCode Available | 2 | 5 |
| A Spectral Energy Distance for Parallel Speech Synthesis | Aug 3, 2020 | scoring ruleSpeech Synthesis | CodeCode Available | 1 | 5 |
| h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective | Jun 22, 2025 | scoring rule | CodeCode Available | 1 | 5 |
| Beyond calibration: estimating the grouping loss of modern neural networks | Oct 28, 2022 | Decision Makingscoring rule | CodeCode Available | 1 | 5 |
| Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks | Jul 25, 2024 | Model OptimizationModel Selection | CodeCode Available | 1 | 5 |
| Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors | Jan 13, 2021 | Objectobject-detection | CodeCode Available | 1 | 5 |
| Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization | Dec 15, 2021 | scoring ruleUncertainty Quantification | CodeCode Available | 1 | 5 |
| Language Generation with Strictly Proper Scoring Rules | May 29, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Enforcing tail calibration when training probabilistic forecast models | Jun 16, 2025 | scoring rule | CodeCode Available | 0 | 5 |
| Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective | Mar 5, 2019 | scoring rule | CodeCode Available | 0 | 5 |
