uncertainty quantification

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions RSS 2024 Conformalized Time Series with Semantic Features NeurIPS 2024 Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration NeurIPS 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 Conformal Prediction Sets Improve Human Decision Making ICML 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024 Consistent Joint Decision-Making with Heterogeneous Learning Models EACL 2024 Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Copula Conformal prediction for multi-step time series prediction ICLR 2024 Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection UAI 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs UAI 2024 CURE: Context- and Uncertainty-Aware Mental Disorder Detection EMNLP 2024 Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024 Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models ACL 2024 Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty RSS 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024