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Uncertainty Quantification

106 directly classified papers

Papers per year

Papers

Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
Practical Adversarial Multivalid Conformal Prediction NIPS 2022
Conformal Prediction with Temporal Quantile Adjustments NIPS 2022
The Implicit Delta Method NIPS 2022
Stable Conformal Prediction Sets ICML 2022
NOMU: Neural Optimization-based Model Uncertainty ICML 2022
Modular Conformal Calibration ICML 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization WACV 2022
Conformal Predictor for Improving Zero-Shot Text Classification Efficiency EMNLP 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
The Neural Testbed: Evaluating Joint Predictions NIPS 2022
Bayesian Risk Markov Decision Processes NIPS 2022
Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Improving Calibration for Long-Tailed Recognition CVPR 2021
Learning Prediction Intervals for Model Performance AAAI 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
Estimating predictive uncertainty for rumour verification models ACL 2020
Data Uncertainty Learning in Face Recognition CVPR 2020
Being Bayesian about Categorical Probability ICML 2020
Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020
Justification-Based Reliability in Machine Learning AAAI 2020