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TitleStatusHype
NGBoost: Natural Gradient Boosting for Probabilistic PredictionCode2
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
Probabilistic Forecasting with Generative Networks via Scoring Rule MinimizationCode1
h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded ObjectiveCode1
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
Language Generation with Strictly Proper Scoring RulesCode1
A Spectral Energy Distance for Parallel Speech SynthesisCode1
Beyond calibration: estimating the grouping loss of modern neural networksCode1
Budget Constraints in Prediction Markets—0
Calibration of Phone Likelihoods in Automatic Speech Recognition—0
Competitive Wakeup Scheme for Distributed Devices—0
Compound Density Networks—0
Concentrated Superelliptical Market Maker—0
Consistency Checks for Language Model Forecasters—0
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors—0
Determining Winners in Elections with Absent Votes—0
Distributional Diffusion Models with Scoring Rules—0
Efficient Dodgson-Score Calculation Using Heuristics and Parallel Computing—0
Efficient pooling of predictions via kernel embeddings—0
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions—0
End-to-End Probabilistic Framework for Learning with Hard Constraints—0
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited—0
Familiarity-Based Open-Set Recognition Under Adversarial Attacks—0
Generalized Bayesian deep reinforcement learning—0
Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates—0
Aligned Textual Scoring Rules—0
A Novel Multiagent Flexibility Aggregation Framework—0
Assessment, Criticism and Improvement of Imprecise Subjective Probabilities for a Medical Expert System—0
A Stable and Strategy-Proof Controlled School Choice Mechanism with Integrated and Flexible Rules—0
Ads in Conversations—0
A Unified Framework for Multi-distribution Density Ratio Estimation—0
Automated Market Makers for Decentralized Finance (DeFi)—0
Scoring rule nets: beyond mean target prediction in multivariate regression—0
Scoring Strategic Agents—0
Shift Happens: Adjusting Classifiers—0
Distance Restricted Manipulation in Voting—0
Statistical Inference for Pairwise Graphical Models Using Score Matching—0
Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing—0
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance—0
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks—0
Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks—0
The Disparate Effects of Partial Information in Bayesian Strategic Learning—0
On Training Survival Models with Scoring Rules—0
U-Calibration: Forecasting for an Unknown Agent—0
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products—0
Uniform Pessimistic Risk and its Optimal Portfolio—0
Using AI Uncertainty Quantification to Improve Human Decision-Making—0
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting—0
ORCCA: Optimal Randomized Canonical Correlation Analysis—0
Improved Price Oracles: Constant Function Market Makers—0
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