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TitleStatusHype
NGBoost: Natural Gradient Boosting for Probabilistic PredictionCode2
h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded ObjectiveCode1
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
Language Generation with Strictly Proper Scoring RulesCode1
Beyond calibration: estimating the grouping loss of modern neural networksCode1
Probabilistic Forecasting with Generative Networks via Scoring Rule MinimizationCode1
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
A Spectral Energy Distance for Parallel Speech SynthesisCode1
Aligned Textual Scoring Rules—0
Enforcing tail calibration when training probabilistic forecast modelsCode0
End-to-End Probabilistic Framework for Learning with Hard Constraints—0
The Disparate Effects of Partial Information in Bayesian Strategic Learning—0
Likelihood-Free Variational Autoencoders—0
Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization—0
A Stable and Strategy-Proof Controlled School Choice Mechanism with Integrated and Flexible Rules—0
Distributional Diffusion Models with Scoring Rules—0
Consistency Checks for Language Model Forecasters—0
Generalized Bayesian deep reinforcement learning—0
Efficient pooling of predictions via kernel embeddings—0
Harnessing Superclasses for Learning from Hierarchical DatabasesCode0
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks—0
Concentrated Superelliptical Market Maker—0
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting—0
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions—0
Scoring rule nets: beyond mean target prediction in multivariate regression—0
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