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Uncertainty Quantification

106 directly classified papers

Papers per year

Papers

Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
Feature Clipping for Uncertainty Calibration AAAI 2025
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
Generalized Fast Exact Conformalization NIPS 2024
Uncertainty Calibration for Tool-Using Language Agents EMNLP 2024
Fixing Overconfidence in Dynamic Neural Networks WACV 2024
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration EMNLP 2024
Selective Generation for Controllable Language Models NIPS 2024
Score-based generative models are provably robust: an uncertainty quantification perspective NIPS 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NIPS 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NIPS 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness ACL 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild CVPR 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024