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Showing 51–90 of 90 papers

TitleStatusHype
Incentives for Federated Learning: a Hypothesis Elicitation Approach—0
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model—0
Likelihood-Free Variational Autoencoders—0
Likelihood-ratio calibration using prior-weighted proper scoring rules—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents—0
Model selection with Gini indices under auto-calibration—0
Multivariate Forecasting Evaluation: On Sensitive and Strictly Proper Scoring Rules—0
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting—0
Online Aggregation of Probability Forecasts with Confidence—0
Online Learning with Continuous Ranked Probability Score—0
On the marginal likelihood and cross-validation—0
Optimal Scoring Rule Design under Partial Knowledge—0
Optimizing positional scoring rules for rank aggregation—0
Overlaying classifiers: a practical approach for optimal ranking—0
Predictive Indexing for Fast Search—0
Predictive Uncertainty in Deep Object Detectors: Estimation and Evaluation—0
Probabilistic Self-supervised Learning via Scoring Rules Minimization—0
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation—0
Proper-Composite Loss Functions in Arbitrary Dimensions—0
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations—0
Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization—0
Robust Estimation for Nonparametric Families via Generative Adversarial Networks—0
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule PerspectiveCode0
Generative machine learning methods for multivariate ensemble post-processingCode0
Harnessing Superclasses for Learning from Hierarchical DatabasesCode0
Enforcing tail calibration when training probabilistic forecast modelsCode0
Survival Regression with Proper Scoring Rules and Monotonic Neural NetworksCode0
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rulesCode0
Bayesian score calibration for approximate modelsCode0
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble ForecastsCode0
No-Regret and Incentive-Compatible Online LearningCode0
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule MinimizationCode0
Object Detection as Probabilistic Set PredictionCode0
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet DistanceCode0
Local Constraint-Based Causal Discovery under Selection BiasCode0
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional DataCode0
Bayesian Autoregressive Online Change-Point Detection with Time-Varying ParametersCode0
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsCode0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
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