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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Label Noise Robustness of Conformal Prediction JMLR 2024
Value-Distributional Model-Based Reinforcement Learning JMLR 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024
Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving AAAI 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Split Conformal Prediction and Non-Exchangeable Data JMLR 2024
Uncertainty Resolution in Misinformation Detection EACL 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models NIPS 2024
Localized Adaptive Risk Control NIPS 2024
Typicalness-Aware Learning for Failure Detection NIPS 2024