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Papers

Showing 125 of 90 papers

TitleStatusHype
NGBoost: Natural Gradient Boosting for Probabilistic PredictionCode2
Beyond calibration: estimating the grouping loss of modern neural networksCode1
Language Generation with Strictly Proper Scoring RulesCode1
Probabilistic Forecasting with Generative Networks via Scoring Rule MinimizationCode1
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded ObjectiveCode1
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
A Spectral Energy Distance for Parallel Speech SynthesisCode1
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Bayesian score calibration for approximate modelsCode0
Object Detection as Probabilistic Set PredictionCode0
Survival Regression with Proper Scoring Rules and Monotonic Neural NetworksCode0
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule MinimizationCode0
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsCode0
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rulesCode0
Local Constraint-Based Causal Discovery under Selection BiasCode0
Generative machine learning methods for multivariate ensemble post-processingCode0
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule PerspectiveCode0
Harnessing Superclasses for Learning from Hierarchical DatabasesCode0
Enforcing tail calibration when training probabilistic forecast modelsCode0
Bayesian Autoregressive Online Change-Point Detection with Time-Varying ParametersCode0
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble ForecastsCode0
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional DataCode0
No-Regret and Incentive-Compatible Online LearningCode0
Calibration of Phone Likelihoods in Automatic Speech Recognition0
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