Uncertainty Quantification

Learning Pessimism for Reinforcement Learning AAAI 2023 Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NeurIPS 2023 Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023 Learn to Accumulate Evidence from All Training Samples: Theory and Practice ICML 2023 Making Pre-trained Language Models both Task-solvers and Self-calibrators ACL 2023 Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023 MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NeurIPS 2023 Model-Based Uncertainty in Value Functions AISTATS 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023 Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective ICML 2023 Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023 On Second-Order Scoring Rules for Epistemic Uncertainty Quantification ICML 2023 On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023 On the Calibration of Large Language Models and Alignment EMNLP 2023 On the Calibration of Probabilistic Classifier Sets AISTATS 2023 On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study EMNLP 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NeurIPS 2023 PAC Prediction Sets for Large Language Models of Code ICML 2023 PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NeurIPS 2023 Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation WACV 2023