proper scoring rule

Calibeating Made Simple COLT 2026 Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score UAI 2026 Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 Truthful Elicitation of Imprecise Forecasts UAI 2025 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024 Evaluation of Trajectory Distribution Predictions with Energy Score ICML 2024 Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification AAAI 2024 From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions JMLR 2023 Incentivizing honest performative predictions with proper scoring rules UAI 2023 On Second-Order Scoring Rules for Epistemic Uncertainty Quantification ICML 2023 Proper Scoring Rules for Survival Analysis ICML 2023 Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts ICML 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023 Autoregressive Quantile Flows for Predictive Uncertainty Estimation ICLR 2022 Robustness and Reliability When Training With Noisy Labels AISTATS 2022 Strictly Proper Contract Functions Can Be Arbitrage-Free AAAI 2022 Survival regression with proper scoring rules and monotonic neural networks AISTATS 2022 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NeurIPS 2021 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors ICLR 2021 Pseudo-Spherical Contrastive Divergence NeurIPS 2021 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020 Preventing Arbitrage from Collusion When Eliciting Probabilities AAAI 2020 An Equivalence between Wagering and Fair-Division Mechanisms AAAI 2019 Online Prediction with Selfish Experts NeurIPS 2017