uncertainty quantification

Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs UAI 2024 On Convergence of Federated Averaging Langevin Dynamics UAI 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 On the Independence Assumption in Neurosymbolic Learning ICML 2024 On the Posterior Distribution in Denoising: Application to Uncertainty Quantification ICLR 2024 On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 PAC Prediction Sets Under Label Shift ICLR 2024 Partially Stochastic Infinitely Deep Bayesian Neural Networks ICML 2024 Perceptions of Linguistic Uncertainty by Language Models and Humans EMNLP 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024 Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance UAI 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process ACL 2024 Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 Probabilistic size-and-shape functional mixed models NeurIPS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024 Provably Robust Conformal Prediction with Improved Efficiency ICLR 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024