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uncertainty quantification

1365 papers

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UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NIPS 2022
Deep Probability Estimation ICML 2022
Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022
Double Spike Dirichlet Priors for Structured Weighting JMLR 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning NIPS 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
NOMU: Neural Optimization-based Model Uncertainty ICML 2022
Role of Human-AI Interaction in Selective Prediction AAAI 2022
Latent Time Neural Ordinary Differential Equations AAAI 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022
Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NIPS 2022
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NIPS 2022
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity NIPS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NIPS 2022
Offline Policy Selection under Uncertainty AISTATS 2022
HHP-Net: A Light Heteroscedastic Neural Network for Head Pose Estimation With Uncertainty WACV 2022
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery WACV 2022
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review JMLR 2022
Testing Whether a Learning Procedure is Calibrated JMLR 2022
Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty ACL 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022