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uncertainty quantification

1365 papers

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Also known as

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

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NIPS 2023
Training Private Models That Know What They Don’t Know NIPS 2023
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks NIPS 2023
Sparse Deep Learning for Time Series Data: Theory and Applications NIPS 2023
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NIPS 2023
Predictive Whittle networks for time series UAI 2022
Bayesian spillover graphs for dynamic networks UAI 2022
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison UAI 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Calibration of Machine Reading Systems at Scale ACL 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022
FedPop: A Bayesian Approach for Personalised Federated Learning NIPS 2022
Fast Instrument Learning with Faster Rates NIPS 2022
Generalized Bayesian quadrature with spectral kernels UAI 2022
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators L4DC 2022
Practical uncertainty quantification for brain tumor segmentation MIDL 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NIPS 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022
Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NIPS 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift NIPS 2022
Towards Improving Calibration in Object Detection Under Domain Shift NIPS 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs NIPS 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022